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annotate planemo/lib/python3.7/site-packages/boto/machinelearning/layer1.py @ 0:d30785e31577 draft

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"planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
author guerler
date Fri, 31 Jul 2020 00:18:57 -0400
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1 # Copyright (c) 2015 Amazon.com, Inc. or its affiliates. All Rights Reserved
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2 #
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3 # Permission is hereby granted, free of charge, to any person obtaining a
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4 # copy of this software and associated documentation files (the
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5 # "Software"), to deal in the Software without restriction, including
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6 # without limitation the rights to use, copy, modify, merge, publish, dis-
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7 # tribute, sublicense, and/or sell copies of the Software, and to permit
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8 # persons to whom the Software is furnished to do so, subject to the fol-
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9 # lowing conditions:
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10 #
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11 # The above copyright notice and this permission notice shall be included
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12 # in all copies or substantial portions of the Software.
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13 #
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14 # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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15 # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
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16 # ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
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17 # SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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18 # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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19 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
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20 # IN THE SOFTWARE.
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21 #
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22
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23 import boto
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24 from boto.compat import json, urlsplit
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25 from boto.connection import AWSQueryConnection
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26 from boto.regioninfo import RegionInfo
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27 from boto.exception import JSONResponseError
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28 from boto.machinelearning import exceptions
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29
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30
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31 class MachineLearningConnection(AWSQueryConnection):
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32 """
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33 Definition of the public APIs exposed by Amazon Machine Learning
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34 """
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35 APIVersion = "2014-12-12"
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36 AuthServiceName = 'machinelearning'
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37 DefaultRegionName = "us-east-1"
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38 DefaultRegionEndpoint = "machinelearning.us-east-1.amazonaws.com"
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39 ServiceName = "MachineLearning"
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40 TargetPrefix = "AmazonML_20141212"
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41 ResponseError = JSONResponseError
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42
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43 _faults = {
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44 "InternalServerException": exceptions.InternalServerException,
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45 "LimitExceededException": exceptions.LimitExceededException,
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46 "ResourceNotFoundException": exceptions.ResourceNotFoundException,
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47 "IdempotentParameterMismatchException": exceptions.IdempotentParameterMismatchException,
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48 "PredictorNotMountedException": exceptions.PredictorNotMountedException,
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49 "InvalidInputException": exceptions.InvalidInputException,
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50 }
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51
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52
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53 def __init__(self, **kwargs):
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54 region = kwargs.pop('region', None)
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55 if not region:
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56 region = RegionInfo(self, self.DefaultRegionName,
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57 self.DefaultRegionEndpoint)
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58
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59 if 'host' not in kwargs or kwargs['host'] is None:
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60 kwargs['host'] = region.endpoint
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61
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62 super(MachineLearningConnection, self).__init__(**kwargs)
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63 self.region = region
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64 self.auth_region_name = self.region.name
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65
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66 def _required_auth_capability(self):
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67 return ['hmac-v4']
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68
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69 def create_batch_prediction(self, batch_prediction_id, ml_model_id,
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70 batch_prediction_data_source_id, output_uri,
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71 batch_prediction_name=None):
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72 """
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73 Generates predictions for a group of observations. The
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74 observations to process exist in one or more data files
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75 referenced by a `DataSource`. This operation creates a new
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76 `BatchPrediction`, and uses an `MLModel` and the data files
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77 referenced by the `DataSource` as information sources.
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78
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79 `CreateBatchPrediction` is an asynchronous operation. In
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80 response to `CreateBatchPrediction`, Amazon Machine Learning
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81 (Amazon ML) immediately returns and sets the `BatchPrediction`
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82 status to `PENDING`. After the `BatchPrediction` completes,
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83 Amazon ML sets the status to `COMPLETED`.
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84
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85 You can poll for status updates by using the
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86 GetBatchPrediction operation and checking the `Status`
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87 parameter of the result. After the `COMPLETED` status appears,
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88 the results are available in the location specified by the
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89 `OutputUri` parameter.
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90
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91 :type batch_prediction_id: string
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92 :param batch_prediction_id: A user-supplied ID that uniquely identifies
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93 the `BatchPrediction`.
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94
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95 :type batch_prediction_name: string
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96 :param batch_prediction_name: A user-supplied name or description of
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97 the `BatchPrediction`. `BatchPredictionName` can only use the UTF-8
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98 character set.
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99
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100 :type ml_model_id: string
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101 :param ml_model_id: The ID of the `MLModel` that will generate
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102 predictions for the group of observations.
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103
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104 :type batch_prediction_data_source_id: string
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105 :param batch_prediction_data_source_id: The ID of the `DataSource` that
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106 points to the group of observations to predict.
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107
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108 :type output_uri: string
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109 :param output_uri: The location of an Amazon Simple Storage Service
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110 (Amazon S3) bucket or directory to store the batch prediction
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111 results. The following substrings are not allowed in the s3 key
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112 portion of the "outputURI" field: ':', '//', '/./', '/../'.
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113 Amazon ML needs permissions to store and retrieve the logs on your
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114 behalf. For information about how to set permissions, see the
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115 `Amazon Machine Learning Developer Guide`_.
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116
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117 """
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118 params = {
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119 'BatchPredictionId': batch_prediction_id,
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120 'MLModelId': ml_model_id,
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121 'BatchPredictionDataSourceId': batch_prediction_data_source_id,
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122 'OutputUri': output_uri,
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123 }
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124 if batch_prediction_name is not None:
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125 params['BatchPredictionName'] = batch_prediction_name
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126 return self.make_request(action='CreateBatchPrediction',
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127 body=json.dumps(params))
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128
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129 def create_data_source_from_rds(self, data_source_id, rds_data, role_arn,
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130 data_source_name=None,
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131 compute_statistics=None):
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132 """
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133 Creates a `DataSource` object from an ` Amazon Relational
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134 Database Service`_ (Amazon RDS). A `DataSource` references
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135 data that can be used to perform CreateMLModel,
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136 CreateEvaluation, or CreateBatchPrediction operations.
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137
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138 `CreateDataSourceFromRDS` is an asynchronous operation. In
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139 response to `CreateDataSourceFromRDS`, Amazon Machine Learning
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140 (Amazon ML) immediately returns and sets the `DataSource`
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141 status to `PENDING`. After the `DataSource` is created and
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142 ready for use, Amazon ML sets the `Status` parameter to
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143 `COMPLETED`. `DataSource` in `COMPLETED` or `PENDING` status
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144 can only be used to perform CreateMLModel, CreateEvaluation,
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145 or CreateBatchPrediction operations.
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146
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147 If Amazon ML cannot accept the input source, it sets the
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148 `Status` parameter to `FAILED` and includes an error message
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149 in the `Message` attribute of the GetDataSource operation
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150 response.
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151
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152 :type data_source_id: string
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153 :param data_source_id: A user-supplied ID that uniquely identifies the
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154 `DataSource`. Typically, an Amazon Resource Number (ARN) becomes
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155 the ID for a `DataSource`.
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156
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157 :type data_source_name: string
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158 :param data_source_name: A user-supplied name or description of the
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159 `DataSource`.
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160
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161 :type rds_data: dict
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162 :param rds_data:
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163 The data specification of an Amazon RDS `DataSource`:
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164
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165
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166 + DatabaseInformation -
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167
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168 + `DatabaseName ` - Name of the Amazon RDS database.
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169 + ` InstanceIdentifier ` - Unique identifier for the Amazon RDS
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170 database instance.
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171
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172 + DatabaseCredentials - AWS Identity and Access Management (IAM)
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173 credentials that are used to connect to the Amazon RDS database.
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174 + ResourceRole - Role (DataPipelineDefaultResourceRole) assumed by an
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175 Amazon Elastic Compute Cloud (EC2) instance to carry out the copy
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176 task from Amazon RDS to Amazon S3. For more information, see `Role
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177 templates`_ for data pipelines.
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178 + ServiceRole - Role (DataPipelineDefaultRole) assumed by the AWS Data
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179 Pipeline service to monitor the progress of the copy task from
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180 Amazon RDS to Amazon Simple Storage Service (S3). For more
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181 information, see `Role templates`_ for data pipelines.
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182 + SecurityInfo - Security information to use to access an Amazon RDS
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183 instance. You need to set up appropriate ingress rules for the
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184 security entity IDs provided to allow access to the Amazon RDS
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185 instance. Specify a [ `SubnetId`, `SecurityGroupIds`] pair for a
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186 VPC-based Amazon RDS instance.
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187 + SelectSqlQuery - Query that is used to retrieve the observation data
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188 for the `Datasource`.
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189 + S3StagingLocation - Amazon S3 location for staging RDS data. The data
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190 retrieved from Amazon RDS using `SelectSqlQuery` is stored in this
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191 location.
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192 + DataSchemaUri - Amazon S3 location of the `DataSchema`.
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193 + DataSchema - A JSON string representing the schema. This is not
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194 required if `DataSchemaUri` is specified.
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195 + DataRearrangement - A JSON string representing the splitting
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196 requirement of a `Datasource`. Sample - ` "{\"randomSeed\":\"some-
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197 random-seed\",
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198 \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"`
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199
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200 :type role_arn: string
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201 :param role_arn: The role that Amazon ML assumes on behalf of the user
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202 to create and activate a data pipeline in the users account and
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203 copy data (using the `SelectSqlQuery`) query from Amazon RDS to
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204 Amazon S3.
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205
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206 :type compute_statistics: boolean
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207 :param compute_statistics: The compute statistics for a `DataSource`.
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208 The statistics are generated from the observation data referenced
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209 by a `DataSource`. Amazon ML uses the statistics internally during
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210 an `MLModel` training. This parameter must be set to `True` if the
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211 ``DataSource `` needs to be used for `MLModel` training.
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212
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213 """
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214 params = {
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215 'DataSourceId': data_source_id,
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216 'RDSData': rds_data,
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217 'RoleARN': role_arn,
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218 }
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219 if data_source_name is not None:
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220 params['DataSourceName'] = data_source_name
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221 if compute_statistics is not None:
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222 params['ComputeStatistics'] = compute_statistics
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223 return self.make_request(action='CreateDataSourceFromRDS',
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224 body=json.dumps(params))
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225
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226 def create_data_source_from_redshift(self, data_source_id, data_spec,
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227 role_arn, data_source_name=None,
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228 compute_statistics=None):
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229 """
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230 Creates a `DataSource` from `Amazon Redshift`_. A `DataSource`
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231 references data that can be used to perform either
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232 CreateMLModel, CreateEvaluation or CreateBatchPrediction
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233 operations.
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234
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235 `CreateDataSourceFromRedshift` is an asynchronous operation.
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236 In response to `CreateDataSourceFromRedshift`, Amazon Machine
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237 Learning (Amazon ML) immediately returns and sets the
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238 `DataSource` status to `PENDING`. After the `DataSource` is
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239 created and ready for use, Amazon ML sets the `Status`
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240 parameter to `COMPLETED`. `DataSource` in `COMPLETED` or
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241 `PENDING` status can only be used to perform CreateMLModel,
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242 CreateEvaluation, or CreateBatchPrediction operations.
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243
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244 If Amazon ML cannot accept the input source, it sets the
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245 `Status` parameter to `FAILED` and includes an error message
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246 in the `Message` attribute of the GetDataSource operation
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247 response.
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248
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249 The observations should exist in the database hosted on an
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250 Amazon Redshift cluster and should be specified by a
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251 `SelectSqlQuery`. Amazon ML executes ` Unload`_ command in
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252 Amazon Redshift to transfer the result set of `SelectSqlQuery`
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253 to `S3StagingLocation.`
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254
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255 After the `DataSource` is created, it's ready for use in
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256 evaluations and batch predictions. If you plan to use the
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257 `DataSource` to train an `MLModel`, the `DataSource` requires
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258 another item -- a recipe. A recipe describes the observation
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259 variables that participate in training an `MLModel`. A recipe
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260 describes how each input variable will be used in training.
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261 Will the variable be included or excluded from training? Will
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262 the variable be manipulated, for example, combined with
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263 another variable or split apart into word combinations? The
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264 recipe provides answers to these questions. For more
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265 information, see the Amazon Machine Learning Developer Guide.
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266
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267 :type data_source_id: string
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268 :param data_source_id: A user-supplied ID that uniquely identifies the
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269 `DataSource`.
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270
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271 :type data_source_name: string
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272 :param data_source_name: A user-supplied name or description of the
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273 `DataSource`.
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274
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275 :type data_spec: dict
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276 :param data_spec:
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277 The data specification of an Amazon Redshift `DataSource`:
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278
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279
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280 + DatabaseInformation -
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281
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282 + `DatabaseName ` - Name of the Amazon Redshift database.
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283 + ` ClusterIdentifier ` - Unique ID for the Amazon Redshift cluster.
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284
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285 + DatabaseCredentials - AWS Identity abd Access Management (IAM)
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286 credentials that are used to connect to the Amazon Redshift
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287 database.
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288 + SelectSqlQuery - Query that is used to retrieve the observation data
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289 for the `Datasource`.
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290 + S3StagingLocation - Amazon Simple Storage Service (Amazon S3)
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291 location for staging Amazon Redshift data. The data retrieved from
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292 Amazon Relational Database Service (Amazon RDS) using
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293 `SelectSqlQuery` is stored in this location.
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294 + DataSchemaUri - Amazon S3 location of the `DataSchema`.
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295 + DataSchema - A JSON string representing the schema. This is not
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296 required if `DataSchemaUri` is specified.
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297 + DataRearrangement - A JSON string representing the splitting
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298 requirement of a `Datasource`. Sample - ` "{\"randomSeed\":\"some-
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299 random-seed\",
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300 \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"`
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301
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302 :type role_arn: string
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303 :param role_arn: A fully specified role Amazon Resource Name (ARN).
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304 Amazon ML assumes the role on behalf of the user to create the
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305 following:
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306
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307
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308 + A security group to allow Amazon ML to execute the `SelectSqlQuery`
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309 query on an Amazon Redshift cluster
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310 + An Amazon S3 bucket policy to grant Amazon ML read/write permissions
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311 on the `S3StagingLocation`
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312
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313 :type compute_statistics: boolean
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314 :param compute_statistics: The compute statistics for a `DataSource`.
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315 The statistics are generated from the observation data referenced
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316 by a `DataSource`. Amazon ML uses the statistics internally during
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317 `MLModel` training. This parameter must be set to `True` if the
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318 ``DataSource `` needs to be used for `MLModel` training
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319
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320 """
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321 params = {
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322 'DataSourceId': data_source_id,
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323 'DataSpec': data_spec,
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324 'RoleARN': role_arn,
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325 }
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326 if data_source_name is not None:
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327 params['DataSourceName'] = data_source_name
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328 if compute_statistics is not None:
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329 params['ComputeStatistics'] = compute_statistics
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330 return self.make_request(action='CreateDataSourceFromRedshift',
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331 body=json.dumps(params))
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332
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333 def create_data_source_from_s3(self, data_source_id, data_spec,
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334 data_source_name=None,
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335 compute_statistics=None):
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336 """
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337 Creates a `DataSource` object. A `DataSource` references data
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338 that can be used to perform CreateMLModel, CreateEvaluation,
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339 or CreateBatchPrediction operations.
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340
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341 `CreateDataSourceFromS3` is an asynchronous operation. In
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342 response to `CreateDataSourceFromS3`, Amazon Machine Learning
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343 (Amazon ML) immediately returns and sets the `DataSource`
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344 status to `PENDING`. After the `DataSource` is created and
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345 ready for use, Amazon ML sets the `Status` parameter to
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346 `COMPLETED`. `DataSource` in `COMPLETED` or `PENDING` status
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347 can only be used to perform CreateMLModel, CreateEvaluation or
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348 CreateBatchPrediction operations.
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349
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350 If Amazon ML cannot accept the input source, it sets the
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351 `Status` parameter to `FAILED` and includes an error message
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352 in the `Message` attribute of the GetDataSource operation
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353 response.
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354
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355 The observation data used in a `DataSource` should be ready to
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356 use; that is, it should have a consistent structure, and
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357 missing data values should be kept to a minimum. The
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358 observation data must reside in one or more CSV files in an
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359 Amazon Simple Storage Service (Amazon S3) bucket, along with a
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360 schema that describes the data items by name and type. The
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361 same schema must be used for all of the data files referenced
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362 by the `DataSource`.
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363
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364 After the `DataSource` has been created, it's ready to use in
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365 evaluations and batch predictions. If you plan to use the
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366 `DataSource` to train an `MLModel`, the `DataSource` requires
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367 another item: a recipe. A recipe describes the observation
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368 variables that participate in training an `MLModel`. A recipe
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369 describes how each input variable will be used in training.
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370 Will the variable be included or excluded from training? Will
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371 the variable be manipulated, for example, combined with
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372 another variable, or split apart into word combinations? The
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373 recipe provides answers to these questions. For more
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374 information, see the `Amazon Machine Learning Developer
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375 Guide`_.
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376
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377 :type data_source_id: string
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378 :param data_source_id: A user-supplied identifier that uniquely
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379 identifies the `DataSource`.
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380
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381 :type data_source_name: string
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382 :param data_source_name: A user-supplied name or description of the
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383 `DataSource`.
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384
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385 :type data_spec: dict
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386 :param data_spec:
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387 The data specification of a `DataSource`:
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388
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389
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390 + DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location
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391 of the observation data.
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392 + DataSchemaLocationS3 - Amazon S3 location of the `DataSchema`.
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393 + DataSchema - A JSON string representing the schema. This is not
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394 required if `DataSchemaUri` is specified.
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395 + DataRearrangement - A JSON string representing the splitting
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396 requirement of a `Datasource`. Sample - ` "{\"randomSeed\":\"some-
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397 random-seed\",
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398 \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"`
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399
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400 :type compute_statistics: boolean
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401 :param compute_statistics: The compute statistics for a `DataSource`.
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402 The statistics are generated from the observation data referenced
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403 by a `DataSource`. Amazon ML uses the statistics internally during
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404 an `MLModel` training. This parameter must be set to `True` if the
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405 ``DataSource `` needs to be used for `MLModel` training
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406
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407 """
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408 params = {
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409 'DataSourceId': data_source_id,
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410 'DataSpec': data_spec,
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411 }
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412 if data_source_name is not None:
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413 params['DataSourceName'] = data_source_name
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414 if compute_statistics is not None:
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415 params['ComputeStatistics'] = compute_statistics
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416 return self.make_request(action='CreateDataSourceFromS3',
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417 body=json.dumps(params))
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418
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419 def create_evaluation(self, evaluation_id, ml_model_id,
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420 evaluation_data_source_id, evaluation_name=None):
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421 """
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422 Creates a new `Evaluation` of an `MLModel`. An `MLModel` is
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423 evaluated on a set of observations associated to a
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424 `DataSource`. Like a `DataSource` for an `MLModel`, the
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425 `DataSource` for an `Evaluation` contains values for the
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426 Target Variable. The `Evaluation` compares the predicted
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427 result for each observation to the actual outcome and provides
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428 a summary so that you know how effective the `MLModel`
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429 functions on the test data. Evaluation generates a relevant
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430 performance metric such as BinaryAUC, RegressionRMSE or
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431 MulticlassAvgFScore based on the corresponding `MLModelType`:
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432 `BINARY`, `REGRESSION` or `MULTICLASS`.
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433
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434 `CreateEvaluation` is an asynchronous operation. In response
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435 to `CreateEvaluation`, Amazon Machine Learning (Amazon ML)
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436 immediately returns and sets the evaluation status to
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437 `PENDING`. After the `Evaluation` is created and ready for
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438 use, Amazon ML sets the status to `COMPLETED`.
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439
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440 You can use the GetEvaluation operation to check progress of
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441 the evaluation during the creation operation.
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442
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443 :type evaluation_id: string
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444 :param evaluation_id: A user-supplied ID that uniquely identifies the
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445 `Evaluation`.
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446
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447 :type evaluation_name: string
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448 :param evaluation_name: A user-supplied name or description of the
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449 `Evaluation`.
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450
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451 :type ml_model_id: string
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452 :param ml_model_id: The ID of the `MLModel` to evaluate.
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453 The schema used in creating the `MLModel` must match the schema of the
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454 `DataSource` used in the `Evaluation`.
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455
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456 :type evaluation_data_source_id: string
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457 :param evaluation_data_source_id: The ID of the `DataSource` for the
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458 evaluation. The schema of the `DataSource` must match the schema
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459 used to create the `MLModel`.
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460
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461 """
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462 params = {
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463 'EvaluationId': evaluation_id,
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464 'MLModelId': ml_model_id,
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465 'EvaluationDataSourceId': evaluation_data_source_id,
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466 }
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467 if evaluation_name is not None:
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468 params['EvaluationName'] = evaluation_name
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469 return self.make_request(action='CreateEvaluation',
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470 body=json.dumps(params))
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471
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472 def create_ml_model(self, ml_model_id, ml_model_type,
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473 training_data_source_id, ml_model_name=None,
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474 parameters=None, recipe=None, recipe_uri=None):
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475 """
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476 Creates a new `MLModel` using the data files and the recipe as
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477 information sources.
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478
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479 An `MLModel` is nearly immutable. Users can only update the
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480 `MLModelName` and the `ScoreThreshold` in an `MLModel` without
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481 creating a new `MLModel`.
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482
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483 `CreateMLModel` is an asynchronous operation. In response to
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484 `CreateMLModel`, Amazon Machine Learning (Amazon ML)
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485 immediately returns and sets the `MLModel` status to
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486 `PENDING`. After the `MLModel` is created and ready for use,
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487 Amazon ML sets the status to `COMPLETED`.
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488
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489 You can use the GetMLModel operation to check progress of the
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490 `MLModel` during the creation operation.
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491
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492 CreateMLModel requires a `DataSource` with computed
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493 statistics, which can be created by setting
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494 `ComputeStatistics` to `True` in CreateDataSourceFromRDS,
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495 CreateDataSourceFromS3, or CreateDataSourceFromRedshift
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496 operations.
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497
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498 :type ml_model_id: string
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499 :param ml_model_id: A user-supplied ID that uniquely identifies the
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500 `MLModel`.
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501
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502 :type ml_model_name: string
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503 :param ml_model_name: A user-supplied name or description of the
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504 `MLModel`.
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505
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506 :type ml_model_type: string
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507 :param ml_model_type: The category of supervised learning that this
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508 `MLModel` will address. Choose from the following types:
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509
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510 + Choose `REGRESSION` if the `MLModel` will be used to predict a
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511 numeric value.
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512 + Choose `BINARY` if the `MLModel` result has two possible values.
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513 + Choose `MULTICLASS` if the `MLModel` result has a limited number of
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514 values.
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515
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516
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517 For more information, see the `Amazon Machine Learning Developer
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518 Guide`_.
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519
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520 :type parameters: map
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521 :param parameters:
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522 A list of the training parameters in the `MLModel`. The list is
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523 implemented as a map of key/value pairs.
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524
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525 The following is the current set of training parameters:
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526
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527
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528 + `sgd.l1RegularizationAmount` - Coefficient regularization L1 norm. It
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529 controls overfitting the data by penalizing large coefficients.
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530 This tends to drive coefficients to zero, resulting in sparse
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531 feature set. If you use this parameter, start by specifying a small
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532 value such as 1.0E-08. The value is a double that ranges from 0 to
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533 MAX_DOUBLE. The default is not to use L1 normalization. The
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534 parameter cannot be used when `L2` is specified. Use this parameter
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535 sparingly.
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536 + `sgd.l2RegularizationAmount` - Coefficient regularization L2 norm. It
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537 controls overfitting the data by penalizing large coefficients.
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538 This tends to drive coefficients to small, nonzero values. If you
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539 use this parameter, start by specifying a small value such as
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540 1.0E-08. The valuseis a double that ranges from 0 to MAX_DOUBLE.
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541 The default is not to use L2 normalization. This cannot be used
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542 when `L1` is specified. Use this parameter sparingly.
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543 + `sgd.maxPasses` - Number of times that the training process traverses
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544 the observations to build the `MLModel`. The value is an integer
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545 that ranges from 1 to 10000. The default value is 10.
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546 + `sgd.maxMLModelSizeInBytes` - Maximum allowed size of the model.
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547 Depending on the input data, the size of the model might affect its
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548 performance. The value is an integer that ranges from 100000 to
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549 2147483648. The default value is 33554432.
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550
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551 :type training_data_source_id: string
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552 :param training_data_source_id: The `DataSource` that points to the
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553 training data.
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554
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555 :type recipe: string
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556 :param recipe: The data recipe for creating `MLModel`. You must specify
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557 either the recipe or its URI. If you dont specify a recipe or its
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558 URI, Amazon ML creates a default.
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559
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560 :type recipe_uri: string
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561 :param recipe_uri: The Amazon Simple Storage Service (Amazon S3)
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562 location and file name that contains the `MLModel` recipe. You must
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563 specify either the recipe or its URI. If you dont specify a recipe
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564 or its URI, Amazon ML creates a default.
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565
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566 """
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567 params = {
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568 'MLModelId': ml_model_id,
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569 'MLModelType': ml_model_type,
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570 'TrainingDataSourceId': training_data_source_id,
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571 }
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572 if ml_model_name is not None:
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573 params['MLModelName'] = ml_model_name
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574 if parameters is not None:
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575 params['Parameters'] = parameters
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576 if recipe is not None:
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577 params['Recipe'] = recipe
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578 if recipe_uri is not None:
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579 params['RecipeUri'] = recipe_uri
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580 return self.make_request(action='CreateMLModel',
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581 body=json.dumps(params))
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582
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583 def create_realtime_endpoint(self, ml_model_id):
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584 """
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585 Creates a real-time endpoint for the `MLModel`. The endpoint
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586 contains the URI of the `MLModel`; that is, the location to
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587 send real-time prediction requests for the specified
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588 `MLModel`.
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589
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590 :type ml_model_id: string
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591 :param ml_model_id: The ID assigned to the `MLModel` during creation.
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592
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593 """
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594 params = {'MLModelId': ml_model_id, }
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595 return self.make_request(action='CreateRealtimeEndpoint',
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596 body=json.dumps(params))
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597
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598 def delete_batch_prediction(self, batch_prediction_id):
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599 """
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600 Assigns the DELETED status to a `BatchPrediction`, rendering
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601 it unusable.
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602
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603 After using the `DeleteBatchPrediction` operation, you can use
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604 the GetBatchPrediction operation to verify that the status of
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605 the `BatchPrediction` changed to DELETED.
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606
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607 The result of the `DeleteBatchPrediction` operation is
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608 irreversible.
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609
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610 :type batch_prediction_id: string
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611 :param batch_prediction_id: A user-supplied ID that uniquely identifies
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612 the `BatchPrediction`.
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613
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614 """
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615 params = {'BatchPredictionId': batch_prediction_id, }
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616 return self.make_request(action='DeleteBatchPrediction',
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617 body=json.dumps(params))
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618
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619 def delete_data_source(self, data_source_id):
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620 """
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621 Assigns the DELETED status to a `DataSource`, rendering it
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622 unusable.
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623
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624 After using the `DeleteDataSource` operation, you can use the
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625 GetDataSource operation to verify that the status of the
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626 `DataSource` changed to DELETED.
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627
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628 The results of the `DeleteDataSource` operation are
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629 irreversible.
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630
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631 :type data_source_id: string
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632 :param data_source_id: A user-supplied ID that uniquely identifies the
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633 `DataSource`.
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634
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635 """
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636 params = {'DataSourceId': data_source_id, }
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637 return self.make_request(action='DeleteDataSource',
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638 body=json.dumps(params))
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639
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640 def delete_evaluation(self, evaluation_id):
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641 """
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642 Assigns the `DELETED` status to an `Evaluation`, rendering it
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
643 unusable.
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644
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645 After invoking the `DeleteEvaluation` operation, you can use
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
646 the GetEvaluation operation to verify that the status of the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
647 `Evaluation` changed to `DELETED`.
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648
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649 The results of the `DeleteEvaluation` operation are
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
650 irreversible.
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651
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
652 :type evaluation_id: string
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653 :param evaluation_id: A user-supplied ID that uniquely identifies the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
654 `Evaluation` to delete.
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655
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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656 """
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657 params = {'EvaluationId': evaluation_id, }
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diff changeset
658 return self.make_request(action='DeleteEvaluation',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
659 body=json.dumps(params))
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diff changeset
660
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661 def delete_ml_model(self, ml_model_id):
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diff changeset
662 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
663 Assigns the DELETED status to an `MLModel`, rendering it
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
664 unusable.
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diff changeset
665
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
666 After using the `DeleteMLModel` operation, you can use the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
667 GetMLModel operation to verify that the status of the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
668 `MLModel` changed to DELETED.
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diff changeset
669
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670 The result of the `DeleteMLModel` operation is irreversible.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
671
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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672 :type ml_model_id: string
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diff changeset
673 :param ml_model_id: A user-supplied ID that uniquely identifies the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
674 `MLModel`.
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675
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676 """
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diff changeset
677 params = {'MLModelId': ml_model_id, }
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
678 return self.make_request(action='DeleteMLModel',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
679 body=json.dumps(params))
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
680
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
681 def delete_realtime_endpoint(self, ml_model_id):
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
682 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
683 Deletes a real time endpoint of an `MLModel`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
684
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
685 :type ml_model_id: string
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parents:
diff changeset
686 :param ml_model_id: The ID assigned to the `MLModel` during creation.
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diff changeset
687
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
688 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
689 params = {'MLModelId': ml_model_id, }
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diff changeset
690 return self.make_request(action='DeleteRealtimeEndpoint',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
691 body=json.dumps(params))
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diff changeset
692
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diff changeset
693 def describe_batch_predictions(self, filter_variable=None, eq=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
694 gt=None, lt=None, ge=None, le=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
695 ne=None, prefix=None, sort_order=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
696 next_token=None, limit=None):
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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697 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
698 Returns a list of `BatchPrediction` operations that match the
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parents:
diff changeset
699 search criteria in the request.
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diff changeset
700
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701 :type filter_variable: string
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diff changeset
702 :param filter_variable:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
703 Use one of the following variables to filter a list of
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
704 `BatchPrediction`:
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diff changeset
705
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diff changeset
706
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
707 + `CreatedAt` - Sets the search criteria to the `BatchPrediction`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
708 creation date.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
709 + `Status` - Sets the search criteria to the `BatchPrediction` status.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
710 + `Name` - Sets the search criteria to the contents of the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
711 `BatchPrediction` ** ** `Name`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
712 + `IAMUser` - Sets the search criteria to the user account that invoked
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
713 the `BatchPrediction` creation.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
714 + `MLModelId` - Sets the search criteria to the `MLModel` used in the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
715 `BatchPrediction`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
716 + `DataSourceId` - Sets the search criteria to the `DataSource` used in
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
717 the `BatchPrediction`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
718 + `DataURI` - Sets the search criteria to the data file(s) used in the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
719 `BatchPrediction`. The URL can identify either a file or an Amazon
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
720 Simple Storage Solution (Amazon S3) bucket or directory.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
721
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
722 :type eq: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
723 :param eq: The equal to operator. The `BatchPrediction` results will
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
724 have `FilterVariable` values that exactly match the value specified
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
725 with `EQ`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
726
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
727 :type gt: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
728 :param gt: The greater than operator. The `BatchPrediction` results
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
729 will have `FilterVariable` values that are greater than the value
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
730 specified with `GT`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
731
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
732 :type lt: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
733 :param lt: The less than operator. The `BatchPrediction` results will
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
734 have `FilterVariable` values that are less than the value specified
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
735 with `LT`.
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diff changeset
736
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
737 :type ge: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
738 :param ge: The greater than or equal to operator. The `BatchPrediction`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
739 results will have `FilterVariable` values that are greater than or
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
740 equal to the value specified with `GE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
741
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
742 :type le: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
743 :param le: The less than or equal to operator. The `BatchPrediction`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
744 results will have `FilterVariable` values that are less than or
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
745 equal to the value specified with `LE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
746
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
747 :type ne: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
748 :param ne: The not equal to operator. The `BatchPrediction` results
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
749 will have `FilterVariable` values not equal to the value specified
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
750 with `NE`.
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diff changeset
751
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
752 :type prefix: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
753 :param prefix:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
754 A string that is found at the beginning of a variable, such as `Name`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
755 or `Id`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
756
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
757 For example, a `Batch Prediction` operation could have the `Name`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
758 `2014-09-09-HolidayGiftMailer`. To search for this
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
759 `BatchPrediction`, select `Name` for the `FilterVariable` and any
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
760 of the following strings for the `Prefix`:
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parents:
diff changeset
761
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
762
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
763 + 2014-09
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diff changeset
764 + 2014-09-09
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
765 + 2014-09-09-Holiday
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
766
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
767 :type sort_order: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
768 :param sort_order: A two-value parameter that determines the sequence
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
769 of the resulting list of `MLModel`s.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
770
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
771 + `asc` - Arranges the list in ascending order (A-Z, 0-9).
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
772 + `dsc` - Arranges the list in descending order (Z-A, 9-0).
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
773
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parents:
diff changeset
774
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parents:
diff changeset
775 Results are sorted by `FilterVariable`.
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parents:
diff changeset
776
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
777 :type next_token: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
778 :param next_token: An ID of the page in the paginated results.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
779
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
780 :type limit: integer
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
781 :param limit: The number of pages of information to include in the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
782 result. The range of acceptable values is 1 through 100. The
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
783 default value is 100.
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diff changeset
784
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
785 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
786 params = {}
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parents:
diff changeset
787 if filter_variable is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
788 params['FilterVariable'] = filter_variable
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diff changeset
789 if eq is not None:
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diff changeset
790 params['EQ'] = eq
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diff changeset
791 if gt is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
792 params['GT'] = gt
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
793 if lt is not None:
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diff changeset
794 params['LT'] = lt
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diff changeset
795 if ge is not None:
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diff changeset
796 params['GE'] = ge
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diff changeset
797 if le is not None:
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diff changeset
798 params['LE'] = le
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diff changeset
799 if ne is not None:
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diff changeset
800 params['NE'] = ne
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diff changeset
801 if prefix is not None:
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diff changeset
802 params['Prefix'] = prefix
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
803 if sort_order is not None:
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diff changeset
804 params['SortOrder'] = sort_order
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
805 if next_token is not None:
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diff changeset
806 params['NextToken'] = next_token
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diff changeset
807 if limit is not None:
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diff changeset
808 params['Limit'] = limit
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
809 return self.make_request(action='DescribeBatchPredictions',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
810 body=json.dumps(params))
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diff changeset
811
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diff changeset
812 def describe_data_sources(self, filter_variable=None, eq=None, gt=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
813 lt=None, ge=None, le=None, ne=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
814 prefix=None, sort_order=None, next_token=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
815 limit=None):
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816 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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817 Returns a list of `DataSource` that match the search criteria
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
818 in the request.
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diff changeset
819
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820 :type filter_variable: string
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diff changeset
821 :param filter_variable:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
822 Use one of the following variables to filter a list of `DataSource`:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
823
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diff changeset
824
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diff changeset
825 + `CreatedAt` - Sets the search criteria to `DataSource` creation
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
826 dates.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
827 + `Status` - Sets the search criteria to `DataSource` statuses.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
828 + `Name` - Sets the search criteria to the contents of `DataSource` **
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
829 ** `Name`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
830 + `DataUri` - Sets the search criteria to the URI of data files used to
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
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diff changeset
831 create the `DataSource`. The URI can identify either a file or an
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
832 Amazon Simple Storage Service (Amazon S3) bucket or directory.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
833 + `IAMUser` - Sets the search criteria to the user account that invoked
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
834 the `DataSource` creation.
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diff changeset
835
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836 :type eq: string
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diff changeset
837 :param eq: The equal to operator. The `DataSource` results will have
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
838 `FilterVariable` values that exactly match the value specified with
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
839 `EQ`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
840
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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841 :type gt: string
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diff changeset
842 :param gt: The greater than operator. The `DataSource` results will
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
843 have `FilterVariable` values that are greater than the value
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
844 specified with `GT`.
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diff changeset
845
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846 :type lt: string
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diff changeset
847 :param lt: The less than operator. The `DataSource` results will have
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
848 `FilterVariable` values that are less than the value specified with
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
849 `LT`.
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diff changeset
850
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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851 :type ge: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
852 :param ge: The greater than or equal to operator. The `DataSource`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
853 results will have `FilterVariable` values that are greater than or
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
854 equal to the value specified with `GE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
855
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diff changeset
856 :type le: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
857 :param le: The less than or equal to operator. The `DataSource` results
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
858 will have `FilterVariable` values that are less than or equal to
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
859 the value specified with `LE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
860
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
861 :type ne: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
862 :param ne: The not equal to operator. The `DataSource` results will
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
863 have `FilterVariable` values not equal to the value specified with
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
864 `NE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
865
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
866 :type prefix: string
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diff changeset
867 :param prefix:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
868 A string that is found at the beginning of a variable, such as `Name`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
869 or `Id`.
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diff changeset
870
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
871 For example, a `DataSource` could have the `Name`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
872 `2014-09-09-HolidayGiftMailer`. To search for this `DataSource`,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
873 select `Name` for the `FilterVariable` and any of the following
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
874 strings for the `Prefix`:
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875
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876
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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877 + 2014-09
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
878 + 2014-09-09
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
879 + 2014-09-09-Holiday
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880
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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881 :type sort_order: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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882 :param sort_order: A two-value parameter that determines the sequence
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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883 of the resulting list of `DataSource`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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884
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
885 + `asc` - Arranges the list in ascending order (A-Z, 0-9).
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
886 + `dsc` - Arranges the list in descending order (Z-A, 9-0).
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
887
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
888
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
889 Results are sorted by `FilterVariable`.
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diff changeset
890
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diff changeset
891 :type next_token: string
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diff changeset
892 :param next_token: The ID of the page in the paginated results.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
893
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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894 :type limit: integer
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
895 :param limit: The maximum number of `DataSource` to include in the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
896 result.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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897
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
898 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
899 params = {}
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
900 if filter_variable is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
901 params['FilterVariable'] = filter_variable
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
902 if eq is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
903 params['EQ'] = eq
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
904 if gt is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
905 params['GT'] = gt
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
906 if lt is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
907 params['LT'] = lt
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
908 if ge is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
909 params['GE'] = ge
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
910 if le is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
911 params['LE'] = le
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
912 if ne is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
913 params['NE'] = ne
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
914 if prefix is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
915 params['Prefix'] = prefix
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
916 if sort_order is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
917 params['SortOrder'] = sort_order
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
918 if next_token is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
919 params['NextToken'] = next_token
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
920 if limit is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
921 params['Limit'] = limit
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
922 return self.make_request(action='DescribeDataSources',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
923 body=json.dumps(params))
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
924
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
925 def describe_evaluations(self, filter_variable=None, eq=None, gt=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
926 lt=None, ge=None, le=None, ne=None, prefix=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
927 sort_order=None, next_token=None, limit=None):
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
928 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
929 Returns a list of `DescribeEvaluations` that match the search
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
930 criteria in the request.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
931
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
932 :type filter_variable: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
933 :param filter_variable:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
934 Use one of the following variable to filter a list of `Evaluation`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
935 objects:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
936
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
937
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
938 + `CreatedAt` - Sets the search criteria to the `Evaluation` creation
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
939 date.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
940 + `Status` - Sets the search criteria to the `Evaluation` status.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
941 + `Name` - Sets the search criteria to the contents of `Evaluation` **
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
942 ** `Name`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
943 + `IAMUser` - Sets the search criteria to the user account that invoked
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
944 an `Evaluation`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
945 + `MLModelId` - Sets the search criteria to the `MLModel` that was
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
946 evaluated.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
947 + `DataSourceId` - Sets the search criteria to the `DataSource` used in
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
948 `Evaluation`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
949 + `DataUri` - Sets the search criteria to the data file(s) used in
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
950 `Evaluation`. The URL can identify either a file or an Amazon
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
951 Simple Storage Solution (Amazon S3) bucket or directory.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
952
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
953 :type eq: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
954 :param eq: The equal to operator. The `Evaluation` results will have
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
955 `FilterVariable` values that exactly match the value specified with
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
956 `EQ`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
957
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
958 :type gt: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
959 :param gt: The greater than operator. The `Evaluation` results will
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
960 have `FilterVariable` values that are greater than the value
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
961 specified with `GT`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
962
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
963 :type lt: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
964 :param lt: The less than operator. The `Evaluation` results will have
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
965 `FilterVariable` values that are less than the value specified with
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
966 `LT`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
967
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
968 :type ge: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
969 :param ge: The greater than or equal to operator. The `Evaluation`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
970 results will have `FilterVariable` values that are greater than or
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
971 equal to the value specified with `GE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
972
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
973 :type le: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
974 :param le: The less than or equal to operator. The `Evaluation` results
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
975 will have `FilterVariable` values that are less than or equal to
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
976 the value specified with `LE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
977
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
978 :type ne: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
979 :param ne: The not equal to operator. The `Evaluation` results will
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
980 have `FilterVariable` values not equal to the value specified with
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
981 `NE`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
982
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
983 :type prefix: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
984 :param prefix:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
985 A string that is found at the beginning of a variable, such as `Name`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
986 or `Id`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
987
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
988 For example, an `Evaluation` could have the `Name`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
989 `2014-09-09-HolidayGiftMailer`. To search for this `Evaluation`,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
990 select `Name` for the `FilterVariable` and any of the following
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
991 strings for the `Prefix`:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
992
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
993
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
994 + 2014-09
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
995 + 2014-09-09
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
996 + 2014-09-09-Holiday
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
997
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
998 :type sort_order: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
999 :param sort_order: A two-value parameter that determines the sequence
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1000 of the resulting list of `Evaluation`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1001
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1002 + `asc` - Arranges the list in ascending order (A-Z, 0-9).
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1003 + `dsc` - Arranges the list in descending order (Z-A, 9-0).
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1004
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1005
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1006 Results are sorted by `FilterVariable`.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1007
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1008 :type next_token: string
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1009 :param next_token: The ID of the page in the paginated results.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1010
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1011 :type limit: integer
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1012 :param limit: The maximum number of `Evaluation` to include in the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1013 result.
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1014
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1015 """
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1016 params = {}
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1017 if filter_variable is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1018 params['FilterVariable'] = filter_variable
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1019 if eq is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1020 params['EQ'] = eq
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1021 if gt is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1022 params['GT'] = gt
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1023 if lt is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1024 params['LT'] = lt
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1025 if ge is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1026 params['GE'] = ge
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1027 if le is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1028 params['LE'] = le
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1029 if ne is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1030 params['NE'] = ne
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1031 if prefix is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1032 params['Prefix'] = prefix
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1033 if sort_order is not None:
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1034 params['SortOrder'] = sort_order
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1035 if next_token is not None:
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parents:
diff changeset
1036 params['NextToken'] = next_token
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parents:
diff changeset
1037 if limit is not None:
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parents:
diff changeset
1038 params['Limit'] = limit
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parents:
diff changeset
1039 return self.make_request(action='DescribeEvaluations',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1040 body=json.dumps(params))
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parents:
diff changeset
1041
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parents:
diff changeset
1042 def describe_ml_models(self, filter_variable=None, eq=None, gt=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1043 lt=None, ge=None, le=None, ne=None, prefix=None,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1044 sort_order=None, next_token=None, limit=None):
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parents:
diff changeset
1045 """
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diff changeset
1046 Returns a list of `MLModel` that match the search criteria in
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
guerler
parents:
diff changeset
1047 the request.
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parents:
diff changeset
1048
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diff changeset
1049 :type filter_variable: string
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parents:
diff changeset
1050 :param filter_variable:
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diff changeset
1051 Use one of the following variables to filter a list of `MLModel`:
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parents:
diff changeset
1052
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diff changeset
1053
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parents:
diff changeset
1054 + `CreatedAt` - Sets the search criteria to `MLModel` creation date.
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parents:
diff changeset
1055 + `Status` - Sets the search criteria to `MLModel` status.
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parents:
diff changeset
1056 + `Name` - Sets the search criteria to the contents of `MLModel` ** **
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parents:
diff changeset
1057 `Name`.
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parents:
diff changeset
1058 + `IAMUser` - Sets the search criteria to the user account that invoked
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guerler
parents:
diff changeset
1059 the `MLModel` creation.
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parents:
diff changeset
1060 + `TrainingDataSourceId` - Sets the search criteria to the `DataSource`
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parents:
diff changeset
1061 used to train one or more `MLModel`.
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parents:
diff changeset
1062 + `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel`
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parents:
diff changeset
1063 real-time endpoint status.
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parents:
diff changeset
1064 + `MLModelType` - Sets the search criteria to `MLModel` type: binary,
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parents:
diff changeset
1065 regression, or multi-class.
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parents:
diff changeset
1066 + `Algorithm` - Sets the search criteria to the algorithm that the
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parents:
diff changeset
1067 `MLModel` uses.
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parents:
diff changeset
1068 + `TrainingDataURI` - Sets the search criteria to the data file(s) used
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parents:
diff changeset
1069 in training a `MLModel`. The URL can identify either a file or an
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parents:
diff changeset
1070 Amazon Simple Storage Service (Amazon S3) bucket or directory.
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parents:
diff changeset
1071
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diff changeset
1072 :type eq: string
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diff changeset
1073 :param eq: The equal to operator. The `MLModel` results will have
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guerler
parents:
diff changeset
1074 `FilterVariable` values that exactly match the value specified with
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parents:
diff changeset
1075 `EQ`.
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diff changeset
1076
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diff changeset
1077 :type gt: string
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parents:
diff changeset
1078 :param gt: The greater than operator. The `MLModel` results will have
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parents:
diff changeset
1079 `FilterVariable` values that are greater than the value specified
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parents:
diff changeset
1080 with `GT`.
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diff changeset
1081
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diff changeset
1082 :type lt: string
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diff changeset
1083 :param lt: The less than operator. The `MLModel` results will have
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diff changeset
1084 `FilterVariable` values that are less than the value specified with
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diff changeset
1085 `LT`.
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diff changeset
1086
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diff changeset
1087 :type ge: string
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diff changeset
1088 :param ge: The greater than or equal to operator. The `MLModel` results
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diff changeset
1089 will have `FilterVariable` values that are greater than or equal to
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1090 the value specified with `GE`.
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diff changeset
1091
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diff changeset
1092 :type le: string
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diff changeset
1093 :param le: The less than or equal to operator. The `MLModel` results
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diff changeset
1094 will have `FilterVariable` values that are less than or equal to
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1095 the value specified with `LE`.
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diff changeset
1096
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diff changeset
1097 :type ne: string
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diff changeset
1098 :param ne: The not equal to operator. The `MLModel` results will have
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1099 `FilterVariable` values not equal to the value specified with `NE`.
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diff changeset
1100
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diff changeset
1101 :type prefix: string
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diff changeset
1102 :param prefix:
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diff changeset
1103 A string that is found at the beginning of a variable, such as `Name`
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diff changeset
1104 or `Id`.
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diff changeset
1105
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diff changeset
1106 For example, an `MLModel` could have the `Name`
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diff changeset
1107 `2014-09-09-HolidayGiftMailer`. To search for this `MLModel`,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1108 select `Name` for the `FilterVariable` and any of the following
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diff changeset
1109 strings for the `Prefix`:
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diff changeset
1110
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diff changeset
1111
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diff changeset
1112 + 2014-09
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diff changeset
1113 + 2014-09-09
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diff changeset
1114 + 2014-09-09-Holiday
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diff changeset
1115
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diff changeset
1116 :type sort_order: string
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diff changeset
1117 :param sort_order: A two-value parameter that determines the sequence
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diff changeset
1118 of the resulting list of `MLModel`.
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diff changeset
1119
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diff changeset
1120 + `asc` - Arranges the list in ascending order (A-Z, 0-9).
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1121 + `dsc` - Arranges the list in descending order (Z-A, 9-0).
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diff changeset
1122
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diff changeset
1123
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1124 Results are sorted by `FilterVariable`.
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diff changeset
1125
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1126 :type next_token: string
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diff changeset
1127 :param next_token: The ID of the page in the paginated results.
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diff changeset
1128
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1129 :type limit: integer
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diff changeset
1130 :param limit: The number of pages of information to include in the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1131 result. The range of acceptable values is 1 through 100. The
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parents:
diff changeset
1132 default value is 100.
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diff changeset
1133
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diff changeset
1134 """
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1135 params = {}
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diff changeset
1136 if filter_variable is not None:
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diff changeset
1137 params['FilterVariable'] = filter_variable
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diff changeset
1138 if eq is not None:
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diff changeset
1139 params['EQ'] = eq
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diff changeset
1140 if gt is not None:
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diff changeset
1141 params['GT'] = gt
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diff changeset
1142 if lt is not None:
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diff changeset
1143 params['LT'] = lt
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diff changeset
1144 if ge is not None:
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diff changeset
1145 params['GE'] = ge
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1146 if le is not None:
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diff changeset
1147 params['LE'] = le
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diff changeset
1148 if ne is not None:
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diff changeset
1149 params['NE'] = ne
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1150 if prefix is not None:
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diff changeset
1151 params['Prefix'] = prefix
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1152 if sort_order is not None:
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1153 params['SortOrder'] = sort_order
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diff changeset
1154 if next_token is not None:
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diff changeset
1155 params['NextToken'] = next_token
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diff changeset
1156 if limit is not None:
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diff changeset
1157 params['Limit'] = limit
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1158 return self.make_request(action='DescribeMLModels',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1159 body=json.dumps(params))
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diff changeset
1160
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1161 def get_batch_prediction(self, batch_prediction_id):
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1162 """
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diff changeset
1163 Returns a `BatchPrediction` that includes detailed metadata,
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diff changeset
1164 status, and data file information for a `Batch Prediction`
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diff changeset
1165 request.
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diff changeset
1166
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1167 :type batch_prediction_id: string
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diff changeset
1168 :param batch_prediction_id: An ID assigned to the `BatchPrediction` at
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diff changeset
1169 creation.
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diff changeset
1170
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1171 """
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diff changeset
1172 params = {'BatchPredictionId': batch_prediction_id, }
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diff changeset
1173 return self.make_request(action='GetBatchPrediction',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1174 body=json.dumps(params))
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diff changeset
1175
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diff changeset
1176 def get_data_source(self, data_source_id, verbose=None):
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diff changeset
1177 """
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1178 Returns a `DataSource` that includes metadata and data file
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diff changeset
1179 information, as well as the current status of the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1180 `DataSource`.
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diff changeset
1181
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1182 `GetDataSource` provides results in normal or verbose format.
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diff changeset
1183 The verbose format adds the schema description and the list of
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1184 files pointed to by the DataSource to the normal format.
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diff changeset
1185
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1186 :type data_source_id: string
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diff changeset
1187 :param data_source_id: The ID assigned to the `DataSource` at creation.
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1188
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1189 :type verbose: boolean
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1190 :param verbose: Specifies whether the `GetDataSource` operation should
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1191 return `DataSourceSchema`.
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1192 If true, `DataSourceSchema` is returned.
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1193
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1194 If false, `DataSourceSchema` is not returned.
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1195
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1196 """
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1197 params = {'DataSourceId': data_source_id, }
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1198 if verbose is not None:
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1199 params['Verbose'] = verbose
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1200 return self.make_request(action='GetDataSource',
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diff changeset
1201 body=json.dumps(params))
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diff changeset
1202
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1203 def get_evaluation(self, evaluation_id):
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1204 """
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diff changeset
1205 Returns an `Evaluation` that includes metadata as well as the
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diff changeset
1206 current status of the `Evaluation`.
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diff changeset
1207
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1208 :type evaluation_id: string
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diff changeset
1209 :param evaluation_id: The ID of the `Evaluation` to retrieve. The
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1210 evaluation of each `MLModel` is recorded and cataloged. The ID
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1211 provides the means to access the information.
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1212
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1213 """
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1214 params = {'EvaluationId': evaluation_id, }
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diff changeset
1215 return self.make_request(action='GetEvaluation',
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diff changeset
1216 body=json.dumps(params))
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diff changeset
1217
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1218 def get_ml_model(self, ml_model_id, verbose=None):
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1219 """
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diff changeset
1220 Returns an `MLModel` that includes detailed metadata, and data
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1221 source information as well as the current status of the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1222 `MLModel`.
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diff changeset
1223
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diff changeset
1224 `GetMLModel` provides results in normal or verbose format.
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diff changeset
1225
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1226 :type ml_model_id: string
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diff changeset
1227 :param ml_model_id: The ID assigned to the `MLModel` at creation.
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diff changeset
1228
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1229 :type verbose: boolean
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diff changeset
1230 :param verbose: Specifies whether the `GetMLModel` operation should
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1231 return `Recipe`.
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diff changeset
1232 If true, `Recipe` is returned.
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diff changeset
1233
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1234 If false, `Recipe` is not returned.
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1235
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1236 """
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1237 params = {'MLModelId': ml_model_id, }
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diff changeset
1238 if verbose is not None:
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diff changeset
1239 params['Verbose'] = verbose
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diff changeset
1240 return self.make_request(action='GetMLModel',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1241 body=json.dumps(params))
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diff changeset
1242
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1243 def predict(self, ml_model_id, record, predict_endpoint):
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diff changeset
1244 """
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1245 Generates a prediction for the observation using the specified
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1246 `MLModel`.
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diff changeset
1247
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diff changeset
1248
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diff changeset
1249 Not all response parameters will be populated because this is
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1250 dependent on the type of requested model.
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diff changeset
1251
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1252 :type ml_model_id: string
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diff changeset
1253 :param ml_model_id: A unique identifier of the `MLModel`.
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diff changeset
1254
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1255 :type record: map
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1256 :param record: A map of variable name-value pairs that represent an
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1257 observation.
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diff changeset
1258
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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1259 :type predict_endpoint: string
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diff changeset
1260 :param predict_endpoint: The endpoint to send the predict request to.
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diff changeset
1261
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1262 """
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diff changeset
1263 predict_host = urlsplit(predict_endpoint).hostname
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diff changeset
1264 if predict_host is None:
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diff changeset
1265 predict_host = predict_endpoint
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diff changeset
1266
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1267 params = {
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diff changeset
1268 'MLModelId': ml_model_id,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1269 'Record': record,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1270 'PredictEndpoint': predict_host,
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1271 }
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diff changeset
1272 return self.make_request(action='Predict',
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1273 body=json.dumps(params),
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1274 host=predict_host)
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diff changeset
1275
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diff changeset
1276 def update_batch_prediction(self, batch_prediction_id,
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diff changeset
1277 batch_prediction_name):
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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1278 """
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diff changeset
1279 Updates the `BatchPredictionName` of a `BatchPrediction`.
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diff changeset
1280
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diff changeset
1281 You can use the GetBatchPrediction operation to view the
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1282 contents of the updated data element.
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diff changeset
1283
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diff changeset
1284 :type batch_prediction_id: string
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diff changeset
1285 :param batch_prediction_id: The ID assigned to the `BatchPrediction`
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1286 during creation.
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diff changeset
1287
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diff changeset
1288 :type batch_prediction_name: string
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parents:
diff changeset
1289 :param batch_prediction_name: A new user-supplied name or description
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diff changeset
1290 of the `BatchPrediction`.
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1291
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1292 """
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diff changeset
1293 params = {
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diff changeset
1294 'BatchPredictionId': batch_prediction_id,
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diff changeset
1295 'BatchPredictionName': batch_prediction_name,
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diff changeset
1296 }
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diff changeset
1297 return self.make_request(action='UpdateBatchPrediction',
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diff changeset
1298 body=json.dumps(params))
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parents:
diff changeset
1299
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diff changeset
1300 def update_data_source(self, data_source_id, data_source_name):
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diff changeset
1301 """
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1302 Updates the `DataSourceName` of a `DataSource`.
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parents:
diff changeset
1303
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1304 You can use the GetDataSource operation to view the contents
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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parents:
diff changeset
1305 of the updated data element.
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diff changeset
1306
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1307 :type data_source_id: string
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1308 :param data_source_id: The ID assigned to the `DataSource` during
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parents:
diff changeset
1309 creation.
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diff changeset
1310
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1311 :type data_source_name: string
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1312 :param data_source_name: A new user-supplied name or description of the
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diff changeset
1313 `DataSource` that will replace the current description.
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diff changeset
1314
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1315 """
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1316 params = {
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1317 'DataSourceId': data_source_id,
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diff changeset
1318 'DataSourceName': data_source_name,
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diff changeset
1319 }
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1320 return self.make_request(action='UpdateDataSource',
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diff changeset
1321 body=json.dumps(params))
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1322
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1323 def update_evaluation(self, evaluation_id, evaluation_name):
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diff changeset
1324 """
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1325 Updates the `EvaluationName` of an `Evaluation`.
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diff changeset
1326
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1327 You can use the GetEvaluation operation to view the contents
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parents:
diff changeset
1328 of the updated data element.
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diff changeset
1329
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1330 :type evaluation_id: string
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diff changeset
1331 :param evaluation_id: The ID assigned to the `Evaluation` during
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parents:
diff changeset
1332 creation.
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diff changeset
1333
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1334 :type evaluation_name: string
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1335 :param evaluation_name: A new user-supplied name or description of the
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diff changeset
1336 `Evaluation` that will replace the current content.
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diff changeset
1337
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1338 """
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diff changeset
1339 params = {
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1340 'EvaluationId': evaluation_id,
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diff changeset
1341 'EvaluationName': evaluation_name,
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diff changeset
1342 }
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diff changeset
1343 return self.make_request(action='UpdateEvaluation',
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diff changeset
1344 body=json.dumps(params))
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diff changeset
1345
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1346 def update_ml_model(self, ml_model_id, ml_model_name=None,
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1347 score_threshold=None):
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1348 """
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1349 Updates the `MLModelName` and the `ScoreThreshold` of an
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1350 `MLModel`.
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1351
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1352 You can use the GetMLModel operation to view the contents of
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diff changeset
1353 the updated data element.
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diff changeset
1354
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1355 :type ml_model_id: string
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diff changeset
1356 :param ml_model_id: The ID assigned to the `MLModel` during creation.
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diff changeset
1357
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1358 :type ml_model_name: string
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diff changeset
1359 :param ml_model_name: A user-supplied name or description of the
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diff changeset
1360 `MLModel`.
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diff changeset
1361
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1362 :type score_threshold: float
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diff changeset
1363 :param score_threshold: The `ScoreThreshold` used in binary
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diff changeset
1364 classification `MLModel` that marks the boundary between a positive
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diff changeset
1365 prediction and a negative prediction.
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1366 Output values greater than or equal to the `ScoreThreshold` receive a
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1367 positive result from the `MLModel`, such as `True`. Output values
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diff changeset
1368 less than the `ScoreThreshold` receive a negative response from the
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diff changeset
1369 `MLModel`, such as `False`.
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1370
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1371 """
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1372 params = {'MLModelId': ml_model_id, }
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diff changeset
1373 if ml_model_name is not None:
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diff changeset
1374 params['MLModelName'] = ml_model_name
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diff changeset
1375 if score_threshold is not None:
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diff changeset
1376 params['ScoreThreshold'] = score_threshold
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1377 return self.make_request(action='UpdateMLModel',
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diff changeset
1378 body=json.dumps(params))
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diff changeset
1379
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1380 def make_request(self, action, body, host=None):
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diff changeset
1381 headers = {
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1382 'X-Amz-Target': '%s.%s' % (self.TargetPrefix, action),
d30785e31577 "planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
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diff changeset
1383 'Host': self.region.endpoint,
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diff changeset
1384 'Content-Type': 'application/x-amz-json-1.1',
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diff changeset
1385 'Content-Length': str(len(body)),
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diff changeset
1386 }
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1387 http_request_kwargs = {
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1388 'method':'POST', 'path':'/', 'auth_path':'/', 'params':{},
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1389 'headers': headers, 'data':body
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diff changeset
1390 }
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1391 if host is not None:
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1392 headers['Host'] = host
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diff changeset
1393 http_request_kwargs['host'] = host
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diff changeset
1394 http_request = self.build_base_http_request(**http_request_kwargs)
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1395 response = self._mexe(http_request, sender=None,
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1396 override_num_retries=10)
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1397 response_body = response.read().decode('utf-8')
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diff changeset
1398 boto.log.debug(response_body)
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1399 if response.status == 200:
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1400 if response_body:
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1401 return json.loads(response_body)
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1402 else:
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1403 json_body = json.loads(response_body)
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1404 fault_name = json_body.get('__type', None)
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1405 exception_class = self._faults.get(fault_name, self.ResponseError)
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diff changeset
1406 raise exception_class(response.status, response.reason,
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diff changeset
1407 body=json_body)
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1408