Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/boto/machinelearning/layer1.py @ 0:26e78fe6e8c4 draft
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author | shellac |
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date | Sat, 02 May 2020 07:14:21 -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 |
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643 unusable. |
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644 |
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645 After invoking the `DeleteEvaluation` operation, you can use |
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646 the GetEvaluation operation to verify that the status of the |
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647 `Evaluation` changed to `DELETED`. |
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648 |
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649 The results of the `DeleteEvaluation` operation are |
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650 irreversible. |
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651 |
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652 :type evaluation_id: string |
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653 :param evaluation_id: A user-supplied ID that uniquely identifies the |
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654 `Evaluation` to delete. |
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655 |
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656 """ |
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657 params = {'EvaluationId': evaluation_id, } |
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658 return self.make_request(action='DeleteEvaluation', |
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659 body=json.dumps(params)) |
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660 |
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661 def delete_ml_model(self, ml_model_id): |
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662 """ |
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663 Assigns the DELETED status to an `MLModel`, rendering it |
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664 unusable. |
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665 |
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666 After using the `DeleteMLModel` operation, you can use the |
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667 GetMLModel operation to verify that the status of the |
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668 `MLModel` changed to DELETED. |
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669 |
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670 The result of the `DeleteMLModel` operation is irreversible. |
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671 |
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672 :type ml_model_id: string |
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673 :param ml_model_id: A user-supplied ID that uniquely identifies the |
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674 `MLModel`. |
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675 |
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676 """ |
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677 params = {'MLModelId': ml_model_id, } |
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|
678 return self.make_request(action='DeleteMLModel', |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
679 body=json.dumps(params)) |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
680 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
681 def delete_realtime_endpoint(self, ml_model_id): |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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682 """ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
683 Deletes a real time endpoint of an `MLModel`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
684 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
685 :type ml_model_id: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
686 :param ml_model_id: The ID assigned to the `MLModel` during creation. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
687 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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diff
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|
688 """ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
689 params = {'MLModelId': ml_model_id, } |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
690 return self.make_request(action='DeleteRealtimeEndpoint', |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
691 body=json.dumps(params)) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
692 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
693 def describe_batch_predictions(self, filter_variable=None, eq=None, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
694 gt=None, lt=None, ge=None, le=None, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
695 ne=None, prefix=None, sort_order=None, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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696 next_token=None, limit=None): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
697 """ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
698 Returns a list of `BatchPrediction` operations that match the |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
699 search criteria in the request. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
diff
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|
700 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
701 :type filter_variable: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
702 :param filter_variable: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
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|
703 Use one of the following variables to filter a list of |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
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|
704 `BatchPrediction`: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
705 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
706 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
707 + `CreatedAt` - Sets the search criteria to the `BatchPrediction` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
708 creation date. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
709 + `Status` - Sets the search criteria to the `BatchPrediction` status. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
diff
changeset
|
710 + `Name` - Sets the search criteria to the contents of the |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
711 `BatchPrediction` ** ** `Name`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
712 + `IAMUser` - Sets the search criteria to the user account that invoked |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
713 the `BatchPrediction` creation. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
714 + `MLModelId` - Sets the search criteria to the `MLModel` used in the |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
715 `BatchPrediction`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
716 + `DataSourceId` - Sets the search criteria to the `DataSource` used in |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
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|
717 the `BatchPrediction`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
718 + `DataURI` - Sets the search criteria to the data file(s) used in the |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
719 `BatchPrediction`. The URL can identify either a file or an Amazon |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
720 Simple Storage Solution (Amazon S3) bucket or directory. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
721 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
722 :type eq: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
723 :param eq: The equal to operator. The `BatchPrediction` results will |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
724 have `FilterVariable` values that exactly match the value specified |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
725 with `EQ`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
726 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
727 :type gt: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
728 :param gt: The greater than operator. The `BatchPrediction` results |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
729 will have `FilterVariable` values that are greater than the value |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
730 specified with `GT`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
731 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
732 :type lt: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
733 :param lt: The less than operator. The `BatchPrediction` results will |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
734 have `FilterVariable` values that are less than the value specified |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
735 with `LT`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
736 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
737 :type ge: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
738 :param ge: The greater than or equal to operator. The `BatchPrediction` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
739 results will have `FilterVariable` values that are greater than or |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
740 equal to the value specified with `GE`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
741 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
742 :type le: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
743 :param le: The less than or equal to operator. The `BatchPrediction` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
744 results will have `FilterVariable` values that are less than or |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
745 equal to the value specified with `LE`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
746 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
747 :type ne: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
748 :param ne: The not equal to operator. The `BatchPrediction` results |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
749 will have `FilterVariable` values not equal to the value specified |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
750 with `NE`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
751 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
752 :type prefix: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
753 :param prefix: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
754 A string that is found at the beginning of a variable, such as `Name` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
755 or `Id`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
756 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
757 For example, a `Batch Prediction` operation could have the `Name` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
758 `2014-09-09-HolidayGiftMailer`. To search for this |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
759 `BatchPrediction`, select `Name` for the `FilterVariable` and any |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
760 of the following strings for the `Prefix`: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
761 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
762 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
763 + 2014-09 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
764 + 2014-09-09 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
765 + 2014-09-09-Holiday |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
766 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
767 :type sort_order: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
768 :param sort_order: A two-value parameter that determines the sequence |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
769 of the resulting list of `MLModel`s. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
770 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
771 + `asc` - Arranges the list in ascending order (A-Z, 0-9). |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
772 + `dsc` - Arranges the list in descending order (Z-A, 9-0). |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
773 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
774 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
775 Results are sorted by `FilterVariable`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
776 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
777 :type next_token: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
778 :param next_token: An ID of the page in the paginated results. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
779 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
780 :type limit: integer |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
781 :param limit: The number of pages of information to include in the |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
782 result. The range of acceptable values is 1 through 100. The |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
783 default value is 100. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
784 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
785 """ |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
786 params = {} |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
787 if filter_variable is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
788 params['FilterVariable'] = filter_variable |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
789 if eq is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
790 params['EQ'] = eq |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
791 if gt is not None: |
26e78fe6e8c4
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792 params['GT'] = gt |
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|
793 if lt is not None: |
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794 params['LT'] = lt |
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|
795 if ge is not None: |
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|
796 params['GE'] = ge |
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|
797 if le is not None: |
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|
798 params['LE'] = le |
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|
799 if ne is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
800 params['NE'] = ne |
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|
801 if prefix is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
802 params['Prefix'] = prefix |
26e78fe6e8c4
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|
803 if sort_order is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
804 params['SortOrder'] = sort_order |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
805 if next_token is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
806 params['NextToken'] = next_token |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
807 if limit is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
808 params['Limit'] = limit |
26e78fe6e8c4
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parents:
diff
changeset
|
809 return self.make_request(action='DescribeBatchPredictions', |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
810 body=json.dumps(params)) |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
811 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
812 def describe_data_sources(self, filter_variable=None, eq=None, gt=None, |
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shellac
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|
813 lt=None, ge=None, le=None, ne=None, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
814 prefix=None, sort_order=None, next_token=None, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
815 limit=None): |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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diff
changeset
|
816 """ |
26e78fe6e8c4
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parents:
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changeset
|
817 Returns a list of `DataSource` that match the search criteria |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
818 in the request. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
819 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
820 :type filter_variable: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
821 :param filter_variable: |
26e78fe6e8c4
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shellac
parents:
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|
822 Use one of the following variables to filter a list of `DataSource`: |
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|
823 |
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|
824 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
825 + `CreatedAt` - Sets the search criteria to `DataSource` creation |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
826 dates. |
26e78fe6e8c4
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|
827 + `Status` - Sets the search criteria to `DataSource` statuses. |
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|
828 + `Name` - Sets the search criteria to the contents of `DataSource` ** |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
829 ** `Name`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
830 + `DataUri` - Sets the search criteria to the URI of data files used to |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
831 create the `DataSource`. The URI can identify either a file or an |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
832 Amazon Simple Storage Service (Amazon S3) bucket or directory. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
833 + `IAMUser` - Sets the search criteria to the user account that invoked |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
834 the `DataSource` creation. |
26e78fe6e8c4
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shellac
parents:
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|
835 |
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|
836 :type eq: string |
26e78fe6e8c4
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shellac
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|
837 :param eq: The equal to operator. The `DataSource` results will have |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
838 `FilterVariable` values that exactly match the value specified with |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
839 `EQ`. |
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shellac
parents:
diff
changeset
|
840 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
841 :type gt: string |
26e78fe6e8c4
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|
842 :param gt: The greater than operator. The `DataSource` results will |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
843 have `FilterVariable` values that are greater than the value |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
844 specified with `GT`. |
26e78fe6e8c4
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shellac
parents:
diff
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|
845 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
846 :type lt: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
847 :param lt: The less than operator. The `DataSource` results will have |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
848 `FilterVariable` values that are less than the value specified with |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
849 `LT`. |
26e78fe6e8c4
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shellac
parents:
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|
850 |
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shellac
parents:
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changeset
|
851 :type ge: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
852 :param ge: The greater than or equal to operator. The `DataSource` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
853 results will have `FilterVariable` values that are greater than or |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
854 equal to the value specified with `GE`. |
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parents:
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|
855 |
26e78fe6e8c4
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shellac
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|
856 :type le: string |
26e78fe6e8c4
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parents:
diff
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|
857 :param le: The less than or equal to operator. The `DataSource` results |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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changeset
|
858 will have `FilterVariable` values that are less than or equal to |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
859 the value specified with `LE`. |
26e78fe6e8c4
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parents:
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|
860 |
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|
861 :type ne: string |
26e78fe6e8c4
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|
862 :param ne: The not equal to operator. The `DataSource` results will |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
863 have `FilterVariable` values not equal to the value specified with |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
864 `NE`. |
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|
865 |
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changeset
|
866 :type prefix: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
867 :param prefix: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
868 A string that is found at the beginning of a variable, such as `Name` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
869 or `Id`. |
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|
870 |
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parents:
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|
871 For example, a `DataSource` could have the `Name` |
26e78fe6e8c4
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|
872 `2014-09-09-HolidayGiftMailer`. To search for this `DataSource`, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
873 select `Name` for the `FilterVariable` and any of the following |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
874 strings for the `Prefix`: |
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|
875 |
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|
876 |
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|
877 + 2014-09 |
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|
878 + 2014-09-09 |
26e78fe6e8c4
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|
879 + 2014-09-09-Holiday |
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parents:
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|
880 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
881 :type sort_order: string |
26e78fe6e8c4
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parents:
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|
882 :param sort_order: A two-value parameter that determines the sequence |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
883 of the resulting list of `DataSource`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
884 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
885 + `asc` - Arranges the list in ascending order (A-Z, 0-9). |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
886 + `dsc` - Arranges the list in descending order (Z-A, 9-0). |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
887 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
888 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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diff
changeset
|
889 Results are sorted by `FilterVariable`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
890 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
891 :type next_token: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
892 :param next_token: The ID of the page in the paginated results. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
893 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
894 :type limit: integer |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
895 :param limit: The maximum number of `DataSource` to include in the |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
896 result. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
897 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
898 """ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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899 params = {} |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
900 if filter_variable is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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901 params['FilterVariable'] = filter_variable |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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902 if eq is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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903 params['EQ'] = eq |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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904 if gt is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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905 params['GT'] = gt |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
906 if lt is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
907 params['LT'] = lt |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
908 if ge is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
909 params['GE'] = ge |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
910 if le is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
911 params['LE'] = le |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
912 if ne is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
913 params['NE'] = ne |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
914 if prefix is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
915 params['Prefix'] = prefix |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
916 if sort_order is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
917 params['SortOrder'] = sort_order |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
918 if next_token is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
919 params['NextToken'] = next_token |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
920 if limit is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
921 params['Limit'] = limit |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
922 return self.make_request(action='DescribeDataSources', |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
923 body=json.dumps(params)) |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
924 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
925 def describe_evaluations(self, filter_variable=None, eq=None, gt=None, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
926 lt=None, ge=None, le=None, ne=None, prefix=None, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
927 sort_order=None, next_token=None, limit=None): |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
928 """ |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
929 Returns a list of `DescribeEvaluations` that match the search |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
930 criteria in the request. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
931 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
932 :type filter_variable: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
933 :param filter_variable: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
934 Use one of the following variable to filter a list of `Evaluation` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
935 objects: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
936 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
937 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
938 + `CreatedAt` - Sets the search criteria to the `Evaluation` creation |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
939 date. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
940 + `Status` - Sets the search criteria to the `Evaluation` status. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
941 + `Name` - Sets the search criteria to the contents of `Evaluation` ** |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
942 ** `Name`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
943 + `IAMUser` - Sets the search criteria to the user account that invoked |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
944 an `Evaluation`. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
945 + `MLModelId` - Sets the search criteria to the `MLModel` that was |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
946 evaluated. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
947 + `DataSourceId` - Sets the search criteria to the `DataSource` used in |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
948 `Evaluation`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
949 + `DataUri` - Sets the search criteria to the data file(s) used in |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
950 `Evaluation`. The URL can identify either a file or an Amazon |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
951 Simple Storage Solution (Amazon S3) bucket or directory. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
952 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
953 :type eq: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
954 :param eq: The equal to operator. The `Evaluation` results will have |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
955 `FilterVariable` values that exactly match the value specified with |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
956 `EQ`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
957 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
958 :type gt: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
959 :param gt: The greater than operator. The `Evaluation` results will |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
960 have `FilterVariable` values that are greater than the value |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
961 specified with `GT`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
962 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
963 :type lt: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
964 :param lt: The less than operator. The `Evaluation` results will have |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
965 `FilterVariable` values that are less than the value specified with |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
966 `LT`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
967 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
968 :type ge: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
969 :param ge: The greater than or equal to operator. The `Evaluation` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
970 results will have `FilterVariable` values that are greater than or |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
971 equal to the value specified with `GE`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
972 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
973 :type le: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
974 :param le: The less than or equal to operator. The `Evaluation` results |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
975 will have `FilterVariable` values that are less than or equal to |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
976 the value specified with `LE`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
977 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
978 :type ne: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
979 :param ne: The not equal to operator. The `Evaluation` results will |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
980 have `FilterVariable` values not equal to the value specified with |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
981 `NE`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
982 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
983 :type prefix: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
984 :param prefix: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
985 A string that is found at the beginning of a variable, such as `Name` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
986 or `Id`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
987 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
988 For example, an `Evaluation` could have the `Name` |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
989 `2014-09-09-HolidayGiftMailer`. To search for this `Evaluation`, |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
990 select `Name` for the `FilterVariable` and any of the following |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
991 strings for the `Prefix`: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
992 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
993 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
994 + 2014-09 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
995 + 2014-09-09 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
996 + 2014-09-09-Holiday |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
997 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
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|
998 :type sort_order: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
999 :param sort_order: A two-value parameter that determines the sequence |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
1000 of the resulting list of `Evaluation`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
1001 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
1002 + `asc` - Arranges the list in ascending order (A-Z, 0-9). |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
1003 + `dsc` - Arranges the list in descending order (Z-A, 9-0). |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
1004 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
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|
1005 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
1006 Results are sorted by `FilterVariable`. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
1007 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
1008 :type next_token: string |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
1009 :param next_token: The ID of the page in the paginated results. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
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|
1010 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
1011 :type limit: integer |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
1012 :param limit: The maximum number of `Evaluation` to include in the |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
1013 result. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
1014 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
1015 """ |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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1016 params = {} |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
1017 if filter_variable is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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1018 params['FilterVariable'] = filter_variable |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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1019 if eq is not None: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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1020 params['EQ'] = eq |
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1021 if gt is not None: |
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1022 params['GT'] = gt |
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1023 if lt is not None: |
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1024 params['LT'] = lt |
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1025 if ge is not None: |
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1026 params['GE'] = ge |
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1027 if le is not None: |
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1028 params['LE'] = le |
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1029 if ne is not None: |
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1030 params['NE'] = ne |
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1031 if prefix is not None: |
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1032 params['Prefix'] = prefix |
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1033 if sort_order is not None: |
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1034 params['SortOrder'] = sort_order |
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1035 if next_token is not None: |
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1036 params['NextToken'] = next_token |
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1037 if limit is not None: |
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1038 params['Limit'] = limit |
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1039 return self.make_request(action='DescribeEvaluations', |
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1040 body=json.dumps(params)) |
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1041 |
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|
1042 def describe_ml_models(self, filter_variable=None, eq=None, gt=None, |
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1043 lt=None, ge=None, le=None, ne=None, prefix=None, |
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1044 sort_order=None, next_token=None, limit=None): |
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1045 """ |
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1046 Returns a list of `MLModel` that match the search criteria in |
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1047 the request. |
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1048 |
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1049 :type filter_variable: string |
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1050 :param filter_variable: |
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1051 Use one of the following variables to filter a list of `MLModel`: |
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|
1052 |
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|
1053 |
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|
1054 + `CreatedAt` - Sets the search criteria to `MLModel` creation date. |
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|
1055 + `Status` - Sets the search criteria to `MLModel` status. |
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1056 + `Name` - Sets the search criteria to the contents of `MLModel` ** ** |
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1057 `Name`. |
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1058 + `IAMUser` - Sets the search criteria to the user account that invoked |
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1059 the `MLModel` creation. |
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1060 + `TrainingDataSourceId` - Sets the search criteria to the `DataSource` |
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1061 used to train one or more `MLModel`. |
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1062 + `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel` |
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1063 real-time endpoint status. |
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1064 + `MLModelType` - Sets the search criteria to `MLModel` type: binary, |
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1065 regression, or multi-class. |
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1066 + `Algorithm` - Sets the search criteria to the algorithm that the |
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1067 `MLModel` uses. |
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1068 + `TrainingDataURI` - Sets the search criteria to the data file(s) used |
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|
1069 in training a `MLModel`. The URL can identify either a file or an |
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|
1070 Amazon Simple Storage Service (Amazon S3) bucket or directory. |
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|
1071 |
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|
1072 :type eq: string |
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|
1073 :param eq: The equal to operator. The `MLModel` results will have |
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1074 `FilterVariable` values that exactly match the value specified with |
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1075 `EQ`. |
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|
1076 |
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|
1077 :type gt: string |
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1078 :param gt: The greater than operator. The `MLModel` results will have |
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1079 `FilterVariable` values that are greater than the value specified |
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1080 with `GT`. |
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|
1081 |
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1082 :type lt: string |
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1083 :param lt: The less than operator. The `MLModel` results will have |
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1084 `FilterVariable` values that are less than the value specified with |
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1085 `LT`. |
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|
1086 |
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|
1087 :type ge: string |
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1088 :param ge: The greater than or equal to operator. The `MLModel` results |
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1089 will have `FilterVariable` values that are greater than or equal to |
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1090 the value specified with `GE`. |
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1091 |
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1092 :type le: string |
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1093 :param le: The less than or equal to operator. The `MLModel` results |
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1094 will have `FilterVariable` values that are less than or equal to |
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1095 the value specified with `LE`. |
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|
1096 |
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1097 :type ne: string |
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1098 :param ne: The not equal to operator. The `MLModel` results will have |
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1099 `FilterVariable` values not equal to the value specified with `NE`. |
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|
1100 |
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1101 :type prefix: string |
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1102 :param prefix: |
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1103 A string that is found at the beginning of a variable, such as `Name` |
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1104 or `Id`. |
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1105 |
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1106 For example, an `MLModel` could have the `Name` |
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1107 `2014-09-09-HolidayGiftMailer`. To search for this `MLModel`, |
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1108 select `Name` for the `FilterVariable` and any of the following |
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1109 strings for the `Prefix`: |
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1110 |
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1111 |
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1112 + 2014-09 |
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1113 + 2014-09-09 |
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1114 + 2014-09-09-Holiday |
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1115 |
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1116 :type sort_order: string |
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1117 :param sort_order: A two-value parameter that determines the sequence |
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1118 of the resulting list of `MLModel`. |
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1119 |
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1120 + `asc` - Arranges the list in ascending order (A-Z, 0-9). |
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1121 + `dsc` - Arranges the list in descending order (Z-A, 9-0). |
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1122 |
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1123 |
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1124 Results are sorted by `FilterVariable`. |
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1125 |
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1126 :type next_token: string |
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1127 :param next_token: The ID of the page in the paginated results. |
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1128 |
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1129 :type limit: integer |
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1130 :param limit: The number of pages of information to include in the |
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1131 result. The range of acceptable values is 1 through 100. The |
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1132 default value is 100. |
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|
1133 |
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1134 """ |
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|
1135 params = {} |
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1136 if filter_variable is not None: |
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1137 params['FilterVariable'] = filter_variable |
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|
1138 if eq is not None: |
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|
1139 params['EQ'] = eq |
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1140 if gt is not None: |
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1141 params['GT'] = gt |
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|
1142 if lt is not None: |
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1143 params['LT'] = lt |
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1144 if ge is not None: |
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1145 params['GE'] = ge |
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1146 if le is not None: |
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1147 params['LE'] = le |
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1148 if ne is not None: |
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1149 params['NE'] = ne |
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1150 if prefix is not None: |
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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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1154 if next_token is not None: |
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|
1155 params['NextToken'] = next_token |
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1156 if limit is not None: |
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1157 params['Limit'] = limit |
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1158 return self.make_request(action='DescribeMLModels', |
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1159 body=json.dumps(params)) |
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|
1160 |
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|
1161 def get_batch_prediction(self, batch_prediction_id): |
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1162 """ |
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1163 Returns a `BatchPrediction` that includes detailed metadata, |
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1164 status, and data file information for a `Batch Prediction` |
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|
1165 request. |
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|
1166 |
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|
1167 :type batch_prediction_id: string |
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1168 :param batch_prediction_id: An ID assigned to the `BatchPrediction` at |
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|
1169 creation. |
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|
1170 |
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|
1171 """ |
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|
1172 params = {'BatchPredictionId': batch_prediction_id, } |
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|
1173 return self.make_request(action='GetBatchPrediction', |
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|
1174 body=json.dumps(params)) |
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|
1175 |
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|
1176 def get_data_source(self, data_source_id, verbose=None): |
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1177 """ |
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|
1178 Returns a `DataSource` that includes metadata and data file |
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|
1179 information, as well as the current status of the |
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|
1180 `DataSource`. |
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|
1181 |
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|
1182 `GetDataSource` provides results in normal or verbose format. |
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1183 The verbose format adds the schema description and the list of |
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|
1184 files pointed to by the DataSource to the normal format. |
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|
1185 |
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1186 :type data_source_id: string |
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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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1201 body=json.dumps(params)) |
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1202 |
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1203 def get_evaluation(self, evaluation_id): |
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1204 """ |
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1205 Returns an `Evaluation` that includes metadata as well as the |
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1206 current status of the `Evaluation`. |
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1207 |
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1208 :type evaluation_id: string |
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1209 :param evaluation_id: The ID of the `Evaluation` to retrieve. The |
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1210 evaluation of each `MLModel` is recorded and cataloged. The ID |
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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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1215 return self.make_request(action='GetEvaluation', |
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1216 body=json.dumps(params)) |
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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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1220 Returns an `MLModel` that includes detailed metadata, and data |
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1221 source information as well as the current status of the |
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1222 `MLModel`. |
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1223 |
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1224 `GetMLModel` provides results in normal or verbose format. |
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1225 |
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1226 :type ml_model_id: string |
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1227 :param ml_model_id: The ID assigned to the `MLModel` at creation. |
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1228 |
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1229 :type verbose: boolean |
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1230 :param verbose: Specifies whether the `GetMLModel` operation should |
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1231 return `Recipe`. |
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1232 If true, `Recipe` is returned. |
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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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1238 if verbose is not None: |
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1239 params['Verbose'] = verbose |
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1240 return self.make_request(action='GetMLModel', |
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1241 body=json.dumps(params)) |
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1242 |
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1243 def predict(self, ml_model_id, record, predict_endpoint): |
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1244 """ |
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1245 Generates a prediction for the observation using the specified |
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1246 `MLModel`. |
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1247 |
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|
1248 |
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1249 Not all response parameters will be populated because this is |
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1250 dependent on the type of requested model. |
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1251 |
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1252 :type ml_model_id: string |
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1253 :param ml_model_id: A unique identifier of the `MLModel`. |
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1254 |
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1255 :type record: map |
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1256 :param record: A map of variable name-value pairs that represent an |
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|
1257 observation. |
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1258 |
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1259 :type predict_endpoint: string |
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1260 :param predict_endpoint: The endpoint to send the predict request to. |
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1261 |
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|
1262 """ |
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1263 predict_host = urlsplit(predict_endpoint).hostname |
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1264 if predict_host is None: |
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1265 predict_host = predict_endpoint |
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1266 |
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1267 params = { |
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1268 'MLModelId': ml_model_id, |
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1269 'Record': record, |
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1270 'PredictEndpoint': predict_host, |
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1271 } |
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1272 return self.make_request(action='Predict', |
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1273 body=json.dumps(params), |
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1274 host=predict_host) |
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1275 |
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1276 def update_batch_prediction(self, batch_prediction_id, |
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1277 batch_prediction_name): |
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1278 """ |
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1279 Updates the `BatchPredictionName` of a `BatchPrediction`. |
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1280 |
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1281 You can use the GetBatchPrediction operation to view the |
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1282 contents of the updated data element. |
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1283 |
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1284 :type batch_prediction_id: string |
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1285 :param batch_prediction_id: The ID assigned to the `BatchPrediction` |
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1286 during creation. |
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|
1287 |
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1288 :type batch_prediction_name: string |
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1289 :param batch_prediction_name: A new user-supplied name or description |
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1290 of the `BatchPrediction`. |
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1291 |
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1292 """ |
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1293 params = { |
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1294 'BatchPredictionId': batch_prediction_id, |
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1295 'BatchPredictionName': batch_prediction_name, |
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1296 } |
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1297 return self.make_request(action='UpdateBatchPrediction', |
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1298 body=json.dumps(params)) |
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1299 |
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1300 def update_data_source(self, data_source_id, data_source_name): |
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1301 """ |
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1302 Updates the `DataSourceName` of a `DataSource`. |
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1303 |
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1304 You can use the GetDataSource operation to view the contents |
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1305 of the updated data element. |
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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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1309 creation. |
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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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1313 `DataSource` that will replace the current description. |
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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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1318 'DataSourceName': data_source_name, |
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1319 } |
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1320 return self.make_request(action='UpdateDataSource', |
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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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1324 """ |
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1325 Updates the `EvaluationName` of an `Evaluation`. |
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1326 |
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1327 You can use the GetEvaluation operation to view the contents |
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1328 of the updated data element. |
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1329 |
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1330 :type evaluation_id: string |
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1331 :param evaluation_id: The ID assigned to the `Evaluation` during |
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1332 creation. |
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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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1336 `Evaluation` that will replace the current content. |
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1337 |
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1338 """ |
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1339 params = { |
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1340 'EvaluationId': evaluation_id, |
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1341 'EvaluationName': evaluation_name, |
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1342 } |
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1343 return self.make_request(action='UpdateEvaluation', |
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1344 body=json.dumps(params)) |
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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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1353 the updated data element. |
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1354 |
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1355 :type ml_model_id: string |
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1356 :param ml_model_id: The ID assigned to the `MLModel` during creation. |
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1357 |
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1358 :type ml_model_name: string |
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1359 :param ml_model_name: A user-supplied name or description of the |
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1360 `MLModel`. |
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1361 |
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1362 :type score_threshold: float |
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1363 :param score_threshold: The `ScoreThreshold` used in binary |
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1364 classification `MLModel` that marks the boundary between a positive |
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1365 prediction and a negative prediction. |
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1366 Output values greater than or equal to the `ScoreThreshold` receive a |
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1367 positive result from the `MLModel`, such as `True`. Output values |
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1368 less than the `ScoreThreshold` receive a negative response from the |
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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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1373 if ml_model_name is not None: |
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1374 params['MLModelName'] = ml_model_name |
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1375 if score_threshold is not None: |
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1376 params['ScoreThreshold'] = score_threshold |
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1377 return self.make_request(action='UpdateMLModel', |
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1378 body=json.dumps(params)) |
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1379 |
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1380 def make_request(self, action, body, host=None): |
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1381 headers = { |
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1382 'X-Amz-Target': '%s.%s' % (self.TargetPrefix, action), |
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1383 'Host': self.region.endpoint, |
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1384 'Content-Type': 'application/x-amz-json-1.1', |
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1385 'Content-Length': str(len(body)), |
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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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1390 } |
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1391 if host is not None: |
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1392 headers['Host'] = host |
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1393 http_request_kwargs['host'] = host |
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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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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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1406 raise exception_class(response.status, response.reason, |
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1407 body=json_body) |
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1408 |