Mercurial > repos > bgruening > keras_train_and_eval

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5
author bgruening
date Sun, 05 Nov 2023 15:43:41 +0000
parents bba502278c25
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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1 import argparse
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2 import json
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3 import os
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4 import warnings
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5 from itertools import chain
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6
5
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7 import joblib
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8 import numpy as np
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9 import pandas as pd
10
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10 from galaxy_ml.keras_galaxy_models import (
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11 _predict_generator,
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12 KerasGBatchClassifier,
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13 KerasGClassifier,
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14 KerasGRegressor
10
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15 )
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16 from galaxy_ml.model_persist import dump_model_to_h5, load_model_from_h5
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17 from galaxy_ml.model_validations import train_test_split
10
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18 from galaxy_ml.utils import (
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19 clean_params,
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20 gen_compute_scores,
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21 get_main_estimator,
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22 get_module,
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23 get_scoring,
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24 read_columns,
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25 SafeEval
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26 )
5
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27 from scipy.io import mmread
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28 from sklearn.metrics._scorer import _check_multimetric_scoring
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29 from sklearn.model_selection._validation import _score
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30 from sklearn.utils import _safe_indexing, indexable
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31
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32 N_JOBS = int(os.environ.get("GALAXY_SLOTS", 1))
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33 CACHE_DIR = os.path.join(os.getcwd(), "cached")
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34 NON_SEARCHABLE = (
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35 "n_jobs",
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36 "pre_dispatch",
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37 "memory",
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38 "_path",
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39 "_dir",
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40 "nthread",
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41 "callbacks",
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42 )
4
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43 ALLOWED_CALLBACKS = (
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44 "EarlyStopping",
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45 "TerminateOnNaN",
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46 "ReduceLROnPlateau",
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47 "CSVLogger",
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48 "None",
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49 )
0
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50
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51
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52 def _eval_swap_params(params_builder):
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53 swap_params = {}
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54
4
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55 for p in params_builder["param_set"]:
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56 swap_value = p["sp_value"].strip()
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57 if swap_value == "":
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58 continue
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59
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60 param_name = p["sp_name"]
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61 if param_name.lower().endswith(NON_SEARCHABLE):
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62 warnings.warn(
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63 "Warning: `%s` is not eligible for search and was "
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64 "omitted!" % param_name
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65 )
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66 continue
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67
4
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68 if not swap_value.startswith(":"):
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69 safe_eval = SafeEval(load_scipy=True, load_numpy=True)
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70 ev = safe_eval(swap_value)
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71 else:
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72 # Have `:` before search list, asks for estimator evaluatio
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73 safe_eval_es = SafeEval(load_estimators=True)
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74 swap_value = swap_value[1:].strip()
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75 # TODO maybe add regular express check
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76 ev = safe_eval_es(swap_value)
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77
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78 swap_params[param_name] = ev
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79
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80 return swap_params
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83 def train_test_split_none(*arrays, **kwargs):
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84 """extend train_test_split to take None arrays
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85 and support split by group names.
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86 """
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87 nones = []
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88 new_arrays = []
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89 for idx, arr in enumerate(arrays):
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90 if arr is None:
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91 nones.append(idx)
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92 else:
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93 new_arrays.append(arr)
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94
4
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95 if kwargs["shuffle"] == "None":
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96 kwargs["shuffle"] = None
0
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97
4
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98 group_names = kwargs.pop("group_names", None)
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99
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100 if group_names is not None and group_names.strip():
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101 group_names = [name.strip() for name in group_names.split(",")]
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102 new_arrays = indexable(*new_arrays)
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103 groups = kwargs["labels"]
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104 n_samples = new_arrays[0].shape[0]
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105 index_arr = np.arange(n_samples)
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106 test = index_arr[np.isin(groups, group_names)]
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107 train = index_arr[~np.isin(groups, group_names)]
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108 rval = list(
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109 chain.from_iterable(
10
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110 (_safe_indexing(a, train), _safe_indexing(a, test)) for a in new_arrays
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111 )
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112 )
0
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113 else:
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114 rval = train_test_split(*new_arrays, **kwargs)
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115
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116 for pos in nones:
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117 rval[pos * 2: 2] = [None, None]
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118
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119 return rval
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120
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121
10
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122 def _evaluate_keras_and_sklearn_scores(
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123 estimator,
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124 data_generator,
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125 X,
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126 y=None,
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127 sk_scoring=None,
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128 steps=None,
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129 batch_size=32,
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130 return_predictions=False,
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131 ):
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132 """output scores for bother keras and sklearn metrics
0
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133
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134 Parameters
10
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135 -----------
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136 estimator : object
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137 Fitted `galaxy_ml.keras_galaxy_models.KerasGBatchClassifier`.
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138 data_generator : object
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139 From `galaxy_ml.preprocessors.ImageDataFrameBatchGenerator`.
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140 X : 2-D array
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141 Contains indecies of images that need to be evaluated.
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142 y : None
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143 Target value.
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144 sk_scoring : dict
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145 Galaxy tool input parameters.
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146 steps : integer or None
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147 Evaluation/prediction steps before stop.
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148 batch_size : integer
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149 Number of samples in a batch
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150 return_predictions : bool, default is False
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151 Whether to return predictions and true labels.
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152 """
10
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153 scores = {}
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154
10
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155 generator = data_generator.flow(X, y=y, batch_size=batch_size)
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156 # keras metrics evaluation
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157 # handle scorer, convert to scorer dict
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158 generator.reset()
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159 score_results = estimator.model_.evaluate_generator(generator, steps=steps)
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160 metrics_names = estimator.model_.metrics_names
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161 if not isinstance(metrics_names, list):
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162 scores[metrics_names] = score_results
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163 else:
10
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164 scores = dict(zip(metrics_names, score_results))
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165
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166 if sk_scoring["primary_scoring"] == "default" and not return_predictions:
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167 return scores
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168
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169 generator.reset()
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170 predictions, y_true = _predict_generator(estimator.model_, generator, steps=steps)
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171
10
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172 # for sklearn metrics
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173 if sk_scoring["primary_scoring"] != "default":
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174 scorer = get_scoring(sk_scoring)
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175 if not isinstance(scorer, (dict, list)):
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176 scorer = [sk_scoring["primary_scoring"]]
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177 scorer = _check_multimetric_scoring(estimator, scoring=scorer)
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178 sk_scores = gen_compute_scores(y_true, predictions, scorer)
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179 scores.update(sk_scores)
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180
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181 if return_predictions:
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182 return scores, predictions, y_true
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183 else:
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184 return scores, None, None
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185
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186
4
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187 def main(
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188 inputs,
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189 infile_estimator,
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190 infile1,
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191 infile2,
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192 outfile_result,
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193 outfile_history=None,
4
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194 outfile_object=None,
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195 outfile_y_true=None,
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196 outfile_y_preds=None,
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197 groups=None,
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198 ref_seq=None,
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199 intervals=None,
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200 targets=None,
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201 fasta_path=None,
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202 ):
0
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203 """
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204 Parameter
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205 ---------
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206 inputs : str
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207 File path to galaxy tool parameter.
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208
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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209 infile_estimator : str
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210 File path to estimator.
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211
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212 infile1 : str
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213 File path to dataset containing features.
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214
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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215 infile2 : str
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216 File path to dataset containing target values.
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217
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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218 outfile_result : str
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219 File path to save the results, either cv_results or test result.
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220
14
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221 outfile_history : str, optional
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222 File path to save the training history.
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223
0
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224 outfile_object : str, optional
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225 File path to save searchCV object.
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226
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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227 outfile_y_true : str, optional
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228 File path to target values for prediction.
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229
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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230 outfile_y_preds : str, optional
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231 File path to save predictions.
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232
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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233 groups : str
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234 File path to dataset containing groups labels.
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235
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236 ref_seq : str
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237 File path to dataset containing genome sequence file.
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238
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239 intervals : str
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240 File path to dataset containing interval file.
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241
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242 targets : str
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243 File path to dataset compressed target bed file.
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244
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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245 fasta_path : str
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246 File path to dataset containing fasta file.
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247 """
4
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248 warnings.simplefilter("ignore")
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249
4
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250 with open(inputs, "r") as param_handler:
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251 params = json.load(param_handler)
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252
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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253 # load estimator
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254 estimator = load_model_from_h5(infile_estimator)
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255
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256 estimator = clean_params(estimator)
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257
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258 # swap hyperparameter
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259 swapping = params["experiment_schemes"]["hyperparams_swapping"]
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260 swap_params = _eval_swap_params(swapping)
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261 estimator.set_params(**swap_params)
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262 estimator_params = estimator.get_params()
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263 # store read dataframe object
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264 loaded_df = {}
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265
4
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266 input_type = params["input_options"]["selected_input"]
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267 # tabular input
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268 if input_type == "tabular":
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269 header = "infer" if params["input_options"]["header1"] else None
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270 column_option = params["input_options"]["column_selector_options_1"][
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271 "selected_column_selector_option"
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272 ]
4
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273 if column_option in [
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274 "by_index_number",
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275 "all_but_by_index_number",
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276 "by_header_name",
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277 "all_but_by_header_name",
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278 ]:
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279 c = params["input_options"]["column_selector_options_1"]["col1"]
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
280 else:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
281 c = None
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
282
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
283 df_key = infile1 + repr(header)
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
284 df = pd.read_csv(infile1, sep="\t", header=header, parse_dates=True)
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
285 loaded_df[df_key] = df
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
286
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
287 X = read_columns(df, c=c, c_option=column_option).astype(float)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
288 # sparse input
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
289 elif input_type == "sparse":
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
290 X = mmread(open(infile1, "r"))
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
291
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
292 # fasta_file input
4
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bgruening
parents: 0
diff changeset
293 elif input_type == "seq_fasta":
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
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294 pyfaidx = get_module("pyfaidx")
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
295 sequences = pyfaidx.Fasta(fasta_path)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
296 n_seqs = len(sequences.keys())
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
297 X = np.arange(n_seqs)[:, np.newaxis]
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
298 for param in estimator_params.keys():
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
299 if param.endswith("fasta_path"):
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
300 estimator.set_params(**{param: fasta_path})
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
301 break
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
302 else:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
303 raise ValueError(
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
304 "The selected estimator doesn't support "
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
305 "fasta file input! Please consider using "
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
306 "KerasGBatchClassifier with "
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
307 "FastaDNABatchGenerator/FastaProteinBatchGenerator "
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
308 "or having GenomeOneHotEncoder/ProteinOneHotEncoder "
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
309 "in pipeline!"
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
310 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
311
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
312 elif input_type == "refseq_and_interval":
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
313 path_params = {
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
314 "data_batch_generator__ref_genome_path": ref_seq,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
315 "data_batch_generator__intervals_path": intervals,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
316 "data_batch_generator__target_path": targets,
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
317 }
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
318 estimator.set_params(**path_params)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
319 n_intervals = sum(1 for line in open(intervals))
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
320 X = np.arange(n_intervals)[:, np.newaxis]
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
321
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
322 # Get target y
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
323 header = "infer" if params["input_options"]["header2"] else None
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
324 column_option = params["input_options"]["column_selector_options_2"][
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
325 "selected_column_selector_option2"
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
326 ]
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
327 if column_option in [
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
328 "by_index_number",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
329 "all_but_by_index_number",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
330 "by_header_name",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
331 "all_but_by_header_name",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
332 ]:
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
333 c = params["input_options"]["column_selector_options_2"]["col2"]
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
334 else:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
335 c = None
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
336
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
337 df_key = infile2 + repr(header)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
338 if df_key in loaded_df:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
339 infile2 = loaded_df[df_key]
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
340 else:
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
341 infile2 = pd.read_csv(infile2, sep="\t", header=header, parse_dates=True)
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
342 loaded_df[df_key] = infile2
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
343
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
344 y = read_columns(
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
345 infile2,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
346 c=c,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
347 c_option=column_option,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
348 sep="\t",
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
349 header=header,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
350 parse_dates=True,
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
351 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
352 if len(y.shape) == 2 and y.shape[1] == 1:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
353 y = y.ravel()
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
354 if input_type == "refseq_and_interval":
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
355 estimator.set_params(data_batch_generator__features=y.ravel().tolist())
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
356 y = None
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
357 # end y
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
358
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
359 # load groups
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
360 if groups:
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
361 groups_selector = (
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
362 params["experiment_schemes"]["test_split"]["split_algos"]
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
363 ).pop("groups_selector")
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
364
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
365 header = "infer" if groups_selector["header_g"] else None
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
366 column_option = groups_selector["column_selector_options_g"][
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
367 "selected_column_selector_option_g"
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
368 ]
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
369 if column_option in [
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
370 "by_index_number",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
371 "all_but_by_index_number",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
372 "by_header_name",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
373 "all_but_by_header_name",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
374 ]:
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
375 c = groups_selector["column_selector_options_g"]["col_g"]
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
376 else:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
377 c = None
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
378
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
379 df_key = groups + repr(header)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
380 if df_key in loaded_df:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
381 groups = loaded_df[df_key]
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
382
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
383 groups = read_columns(
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
384 groups,
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
385 c=c,
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
386 c_option=column_option,
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
387 sep="\t",
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
388 header=header,
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
389 parse_dates=True,
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
390 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
391 groups = groups.ravel()
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
392
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
393 # del loaded_df
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
394 del loaded_df
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
395
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
396 # cache iraps_core fits could increase search speed significantly
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
397 memory = joblib.Memory(location=CACHE_DIR, verbose=0)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
398 main_est = get_main_estimator(estimator)
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
399 if main_est.__class__.__name__ == "IRAPSClassifier":
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
400 main_est.set_params(memory=memory)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
401
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
402 # handle scorer, convert to scorer dict
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
403 scoring = params["experiment_schemes"]["metrics"]["scoring"]
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
404 scorer = get_scoring(scoring)
15
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
405
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
406 # We get 'None' back from the call to 'get_scoring()' if
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
407 # the primary scoring is 'default'. Replace 'default' with
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
408 # the default scoring for classification/regression (accuracy/r2)
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
409 if scorer is None:
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
410 if isinstance(estimator, KerasGClassifier):
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
411 scorer = ['accuracy']
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
412 if isinstance(estimator, KerasGRegressor):
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
413 scorer = ['r2']
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
414
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
415 scorer = _check_multimetric_scoring(estimator, scoring=scorer)
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
416
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
417 # handle test (first) split
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
418 test_split_options = params["experiment_schemes"]["test_split"]["split_algos"]
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
419
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
420 if test_split_options["shuffle"] == "group":
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
421 test_split_options["labels"] = groups
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
422 if test_split_options["shuffle"] == "stratified":
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
423 if y is not None:
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
424 test_split_options["labels"] = y
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
425 else:
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
426 raise ValueError(
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
427 "Stratified shuffle split is not " "applicable on empty target values!"
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
428 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
429
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
430 X_train, X_test, y_train, y_test, groups_train, groups_test = train_test_split_none(
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
431 X, y, groups, **test_split_options
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
432 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
433
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
434 exp_scheme = params["experiment_schemes"]["selected_exp_scheme"]
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
435
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
436 # handle validation (second) split
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
437 if exp_scheme == "train_val_test":
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
438 val_split_options = params["experiment_schemes"]["val_split"]["split_algos"]
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
439
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
440 if val_split_options["shuffle"] == "group":
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
441 val_split_options["labels"] = groups_train
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
442 if val_split_options["shuffle"] == "stratified":
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
443 if y_train is not None:
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
444 val_split_options["labels"] = y_train
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
445 else:
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
446 raise ValueError(
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
447 "Stratified shuffle split is not "
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
448 "applicable on empty target values!"
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
449 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
450
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
451 (
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
452 X_train,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
453 X_val,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
454 y_train,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
455 y_val,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
456 groups_train,
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
457 groups_val,
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
458 ) = train_test_split_none(X_train, y_train, groups_train, **val_split_options)
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
459
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
460 # train and eval
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
461 if hasattr(estimator, "config") and hasattr(estimator, "model_type"):
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
462 if exp_scheme == "train_val_test":
14
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
463 history = estimator.fit(X_train, y_train, validation_data=(X_val, y_val))
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
464 else:
14
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
465 history = estimator.fit(X_train, y_train, validation_data=(X_test, y_test))
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
466 else:
14
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
467 history = estimator.fit(X_train, y_train)
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
468 if "callbacks" in estimator_params:
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
469 for cb in estimator_params["callbacks"]:
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
470 if cb["callback_selection"]["callback_type"] == "CSVLogger":
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
471 hist_df = pd.DataFrame(history.history)
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
472 hist_df["epoch"] = np.arange(1, estimator_params["epochs"] + 1)
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
473 epo_col = hist_df.pop('epoch')
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
474 hist_df.insert(0, 'epoch', epo_col)
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
475 hist_df.to_csv(path_or_buf=outfile_history, sep="\t", header=True, index=False)
818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
bgruening
parents: 10
diff changeset
476 break
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
477 if isinstance(estimator, KerasGBatchClassifier):
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
478 scores = {}
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
479 steps = estimator.prediction_steps
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
480 batch_size = estimator.batch_size
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
481 data_generator = estimator.data_generator_
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
482
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
483 scores, predictions, y_true = _evaluate_keras_and_sklearn_scores(
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
484 estimator,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
485 data_generator,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
486 X_test,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
487 y=y_test,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
488 sk_scoring=scoring,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
489 steps=steps,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
490 batch_size=batch_size,
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
491 return_predictions=bool(outfile_y_true),
6
ead8f1822587 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
parents: 5
diff changeset
492 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
493
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
494 else:
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
495 scores = {}
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
496 if hasattr(estimator, "model_") and hasattr(estimator.model_, "metrics_names"):
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
497 batch_size = estimator.batch_size
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
498 score_results = estimator.model_.evaluate(
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
499 X_test, y=y_test, batch_size=batch_size, verbose=0
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
500 )
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
501 metrics_names = estimator.model_.metrics_names
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
502 if not isinstance(metrics_names, list):
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
503 scores[metrics_names] = score_results
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
504 else:
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
505 scores = dict(zip(metrics_names, score_results))
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
506
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
507 if hasattr(estimator, "predict_proba"):
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
508 predictions = estimator.predict_proba(X_test)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
509 else:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
510 predictions = estimator.predict(X_test)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
511
15
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
512 # Un-do OHE of the validation labels
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
513 if len(y_test.shape) == 2:
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
514 rounded_test_labels = np.argmax(y_test, axis=1)
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
515 y_true = rounded_test_labels
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
516 sk_scores = _score(estimator, X_test, rounded_test_labels, scorer)
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
517 else:
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
518 y_true = y_test
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
519 sk_scores = _score(estimator, X_test, y_true, scorer)
bba502278c25 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
bgruening
parents: 14
diff changeset
520
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
521 scores.update(sk_scores)
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
522
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
523 # handle output
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
524 if outfile_y_true:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
525 try:
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
526 pd.DataFrame(y_true).to_csv(outfile_y_true, sep="\t", index=False)
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
527 pd.DataFrame(predictions).astype(np.float32).to_csv(
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
528 outfile_y_preds,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
529 sep="\t",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
530 index=False,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
531 float_format="%g",
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
532 chunksize=10000,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
533 )
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
534 except Exception as e:
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
535 print("Error in saving predictions: %s" % e)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
536 # handle output
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
537 for name, score in scores.items():
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
538 scores[name] = [score]
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
539 df = pd.DataFrame(scores)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
540 df = df[sorted(df.columns)]
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
541 df.to_csv(path_or_buf=outfile_result, sep="\t", header=True, index=False)
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
542
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
543 memory.clear(warn=False)
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
544
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
545 if outfile_object:
10
b3093f953091 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
bgruening
parents: 6
diff changeset
546 dump_model_to_h5(estimator, outfile_object)
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
547
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
548
4
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents: 0
diff changeset
549 if __name__ == "__main__":
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff changeset
550 aparser = argparse.ArgumentParser()
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551 aparser.add_argument("-i", "--inputs", dest="inputs", required=True)
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552 aparser.add_argument("-e", "--estimator", dest="infile_estimator")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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553 aparser.add_argument("-X", "--infile1", dest="infile1")
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554 aparser.add_argument("-y", "--infile2", dest="infile2")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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555 aparser.add_argument("-O", "--outfile_result", dest="outfile_result")
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818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
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556 aparser.add_argument("-hi", "--outfile_history", dest="outfile_history")
0
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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557 aparser.add_argument("-o", "--outfile_object", dest="outfile_object")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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558 aparser.add_argument("-l", "--outfile_y_true", dest="outfile_y_true")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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559 aparser.add_argument("-p", "--outfile_y_preds", dest="outfile_y_preds")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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560 aparser.add_argument("-g", "--groups", dest="groups")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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561 aparser.add_argument("-r", "--ref_seq", dest="ref_seq")
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562 aparser.add_argument("-b", "--intervals", dest="intervals")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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563 aparser.add_argument("-t", "--targets", dest="targets")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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564 aparser.add_argument("-f", "--fasta_path", dest="fasta_path")
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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565 args = aparser.parse_args()
03f61bb3ca43 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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566
4
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567 main(
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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568 args.inputs,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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569 args.infile_estimator,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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570 args.infile1,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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571 args.infile2,
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572 args.outfile_result,
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818f9b69d8a0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
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573 outfile_history=args.outfile_history,
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574 outfile_object=args.outfile_object,
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575 outfile_y_true=args.outfile_y_true,
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576 outfile_y_preds=args.outfile_y_preds,
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577 groups=args.groups,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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578 ref_seq=args.ref_seq,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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579 intervals=args.intervals,
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580 targets=args.targets,
3866911c93ae "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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581 fasta_path=args.fasta_path,
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582 )