Mercurial > repos > bgruening > keras_train_and_eval
comparison keras_train_and_eval.xml @ 4:3866911c93ae draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author | bgruening |
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date | Tue, 13 Apr 2021 18:37:35 +0000 |
parents | ccd6269fad60 |
children | b3093f953091 |
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3:f1b9a42d6809 | 4:3866911c93ae |
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1 <tool id="keras_train_and_eval" name="Deep learning training and evaluation" version="@VERSION@"> | 1 <tool id="keras_train_and_eval" name="Deep learning training and evaluation" version="@VERSION@" profile="20.05"> |
2 <description>conduct deep training and evaluation either implicitly or explicitly</description> | 2 <description>conduct deep training and evaluation either implicitly or explicitly</description> |
3 <macros> | 3 <macros> |
4 <import>main_macros.xml</import> | 4 <import>main_macros.xml</import> |
5 <import>keras_macros.xml</import> | 5 <import>keras_macros.xml</import> |
6 </macros> | 6 </macros> |
7 <expand macro="python_requirements"/> | 7 <expand macro="python_requirements" /> |
8 <expand macro="macro_stdio"/> | 8 <expand macro="macro_stdio" /> |
9 <version_command>echo "@VERSION@"</version_command> | 9 <version_command>echo "@VERSION@"</version_command> |
10 <command> | 10 <command> |
11 <![CDATA[ | 11 <![CDATA[ |
12 export HDF5_USE_FILE_LOCKING='FALSE'; | 12 export HDF5_USE_FILE_LOCKING='FALSE'; |
13 #if $input_options.selected_input == 'refseq_and_interval' | 13 #if $input_options.selected_input == 'refseq_and_interval' |
17 #end if | 17 #end if |
18 python '$__tool_directory__/keras_train_and_eval.py' | 18 python '$__tool_directory__/keras_train_and_eval.py' |
19 --inputs '$inputs' | 19 --inputs '$inputs' |
20 --estimator '$experiment_schemes.infile_estimator' | 20 --estimator '$experiment_schemes.infile_estimator' |
21 #if $input_options.selected_input == 'seq_fasta' | 21 #if $input_options.selected_input == 'seq_fasta' |
22 --fasta_path '$input_options.fasta_path' | 22 --fasta_path '$input_options.fasta_path' |
23 #elif $input_options.selected_input == 'refseq_and_interval' | 23 #elif $input_options.selected_input == 'refseq_and_interval' |
24 --ref_seq "`pwd`/${ref_genome_file.element_identifier}" | 24 --ref_seq "`pwd`/${ref_genome_file.element_identifier}" |
25 --interval '$input_options.interval_file' | 25 --interval '$input_options.interval_file' |
26 --targets "`pwd`/${target_file.element_identifier}.gz" | 26 --targets "`pwd`/${target_file.element_identifier}.gz" |
27 #else | 27 #else |
28 --infile1 '$input_options.infile1' | 28 --infile1 '$input_options.infile1' |
29 #end if | 29 #end if |
30 --infile2 '$input_options.infile2' | 30 --infile2 '$input_options.infile2' |
31 --outfile_result "`pwd`/tmp_outfile_result" | 31 --outfile_result '$outfile_result' |
32 #if $save and 'save_estimator' in str($save) | 32 #if $save and 'save_estimator' in str($save) |
33 --outfile_object '$outfile_object' | 33 --outfile_object '$outfile_object' |
34 --outfile_weights '$outfile_weights' | 34 --outfile_weights '$outfile_weights' |
35 #end if | 35 #end if |
36 #if $save and 'save_prediction' in str($save) | 36 #if $save and 'save_prediction' in str($save) |
37 --outfile_y_true '$outfile_y_true' | 37 --outfile_y_true '$outfile_y_true' |
38 --outfile_y_preds '$outfile_y_preds' | 38 --outfile_y_preds '$outfile_y_preds' |
39 #end if | 39 #end if |
40 #if $experiment_schemes.test_split.split_algos.shuffle == 'group' | 40 #if $experiment_schemes.test_split.split_algos.shuffle == 'group' |
41 --groups '$experiment_schemes.test_split.split_algos.groups_selector.infile_g' | 41 --groups '$experiment_schemes.test_split.split_algos.groups_selector.infile_g' |
42 #end if | 42 #end if |
43 >'$outfile_result' && cp '$outfile_result' "`pwd`/../tool_stdout" | |
44 && cp tmp_outfile_result '$outfile_result'; | |
45 | |
46 ]]> | 43 ]]> |
47 </command> | 44 </command> |
48 <configfiles> | 45 <configfiles> |
49 <inputs name="inputs" /> | 46 <inputs name="inputs" /> |
50 </configfiles> | 47 </configfiles> |
53 <param name="selected_exp_scheme" type="select" label="Select a scheme"> | 50 <param name="selected_exp_scheme" type="select" label="Select a scheme"> |
54 <option value="train_val" selected="true">Train and Validate</option> | 51 <option value="train_val" selected="true">Train and Validate</option> |
55 <option value="train_val_test">Train, Validate and and Evaluate</option> | 52 <option value="train_val_test">Train, Validate and and Evaluate</option> |
56 </param> | 53 </param> |
57 <when value="train_val"> | 54 <when value="train_val"> |
58 <expand macro="estimator_and_hyperparameter"/> | 55 <expand macro="estimator_and_hyperparameter" /> |
59 <section name="test_split" title="Validation holdout" expanded="false"> | 56 <section name="test_split" title="Validation holdout" expanded="false"> |
60 <expand macro="train_test_split_params"> | 57 <expand macro="train_test_split_params"> |
61 <expand macro="cv_groups"/> | 58 <expand macro="cv_groups" /> |
62 </expand> | 59 </expand> |
63 </section> | 60 </section> |
64 <section name="metrics" title="Metrics for evaluation" expanded="false"> | 61 <section name="metrics" title="Metrics for evaluation" expanded="false"> |
65 <expand macro="scoring_selection"/> | 62 <expand macro="scoring_selection" /> |
66 </section> | 63 </section> |
67 </when> | 64 </when> |
68 <when value="train_val_test"> | 65 <when value="train_val_test"> |
69 <expand macro="estimator_and_hyperparameter"/> | 66 <expand macro="estimator_and_hyperparameter" /> |
70 <section name="test_split" title="Test holdout" expanded="false"> | 67 <section name="test_split" title="Test holdout" expanded="false"> |
71 <expand macro="train_test_split_params"> | 68 <expand macro="train_test_split_params"> |
72 <expand macro="cv_groups"/> | 69 <expand macro="cv_groups" /> |
73 </expand> | 70 </expand> |
74 </section> | 71 </section> |
75 <section name="val_split" title="Validation holdout (recommend using the same splitting method as for test holdout)" expanded="false"> | 72 <section name="val_split" title="Validation holdout (recommend using the same splitting method as for test holdout)" expanded="false"> |
76 <expand macro="train_test_split_params"/> | 73 <expand macro="train_test_split_params" /> |
77 </section> | 74 </section> |
78 <section name="metrics" title="Metrics for evaluation" expanded="false"> | 75 <section name="metrics" title="Metrics for evaluation" expanded="false"> |
79 <expand macro="scoring_selection"/> | 76 <expand macro="scoring_selection" /> |
80 </section> | 77 </section> |
81 </when> | 78 </when> |
82 </conditional> | 79 </conditional> |
83 <expand macro="sl_mixed_input_plus_sequence"/> | 80 <expand macro="sl_mixed_input_plus_sequence" /> |
84 <param name="save" type="select" multiple='true' display="checkboxes" label="Save the fitted model" optional="true" help="Evaluation scores will be output by default."> | 81 <param name="save" type="select" multiple='true' display="checkboxes" label="Save the fitted model" optional="true" help="Evaluation scores will be output by default."> |
85 <option value="save_estimator" selected="true">Fitted estimator in skeleton and weights, separately</option> | 82 <option value="save_estimator" selected="true">Fitted estimator in skeleton and weights, separately</option> |
86 <option value="save_prediction">True labels and prediction results from evaluation for downstream analysis</option> | 83 <option value="save_prediction">True labels and prediction results from evaluation for downstream analysis</option> |
87 </param> | 84 </param> |
88 </inputs> | 85 </inputs> |
89 <outputs> | 86 <outputs> |
90 <data format="tabular" name="outfile_result"/> | 87 <data format="tabular" name="outfile_result" /> |
91 <data format="zip" name="outfile_object" label="Fitted estimator or estimator skeleton on ${on_string}"> | 88 <data format="zip" name="outfile_object" label="Fitted estimator or estimator skeleton on ${on_string}"> |
92 <filter>str(save) and 'save_estimator' in str(save)</filter> | 89 <filter>str(save) and 'save_estimator' in str(save)</filter> |
93 </data> | 90 </data> |
94 <data format="h5" name="outfile_weights" label="Weights trained on ${on_string}"> | 91 <data format="h5" name="outfile_weights" label="Weights trained on ${on_string}"> |
95 <filter>str(save) and 'save_estimator' in str(save)</filter> | 92 <filter>str(save) and 'save_estimator' in str(save)</filter> |
102 </data> | 99 </data> |
103 </outputs> | 100 </outputs> |
104 <tests> | 101 <tests> |
105 <test> | 102 <test> |
106 <conditional name="experiment_schemes"> | 103 <conditional name="experiment_schemes"> |
107 <param name="selected_exp_scheme" value="train_val_test"/> | 104 <param name="selected_exp_scheme" value="train_val_test" /> |
108 <param name="infile_estimator" value="keras_model04" ftype="zip"/> | 105 <param name="infile_estimator" value="keras_model04" ftype="zip" /> |
109 <section name="hyperparams_swapping"> | 106 <section name="hyperparams_swapping"> |
110 <param name="infile_params" value="keras_params04.tabular" ftype="tabular"/> | 107 <param name="infile_params" value="keras_params04.tabular" ftype="tabular" /> |
111 <repeat name="param_set"> | 108 <repeat name="param_set"> |
112 <param name="sp_value" value="999"/> | 109 <param name="sp_value" value="999" /> |
113 <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed"/> | 110 <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed" /> |
114 </repeat> | 111 </repeat> |
115 <repeat name="param_set"> | 112 <repeat name="param_set"> |
116 <param name="sp_value" value="999"/> | 113 <param name="sp_value" value="999" /> |
117 <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed"/> | 114 <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed" /> |
118 </repeat> | 115 </repeat> |
119 <repeat name="param_set"> | 116 <repeat name="param_set"> |
120 <param name="sp_value" value="0.1"/> | 117 <param name="sp_value" value="0.1" /> |
121 <param name="sp_name" value="lr"/> | 118 <param name="sp_name" value="lr" /> |
122 </repeat> | 119 </repeat> |
123 <repeat name="param_set"> | 120 <repeat name="param_set"> |
124 <param name="sp_value" value="'adamax'"/> | 121 <param name="sp_value" value="'adamax'" /> |
125 <param name="sp_name" value="optimizer"/> | 122 <param name="sp_name" value="optimizer" /> |
126 </repeat> | 123 </repeat> |
127 </section> | 124 </section> |
128 <section name="test_split"> | 125 <section name="test_split"> |
129 <conditional name="split_algos"> | 126 <conditional name="split_algos"> |
130 <param name="shuffle" value="simple"/> | 127 <param name="shuffle" value="simple" /> |
131 <param name="test_size" value="0.2"/> | 128 <param name="test_size" value="0.2" /> |
132 <param name="random_state" value="123"/> | 129 <param name="random_state" value="123" /> |
133 </conditional> | 130 </conditional> |
134 </section> | 131 </section> |
135 <section name="val_split"> | 132 <section name="val_split"> |
136 <conditional name="split_algos"> | 133 <conditional name="split_algos"> |
137 <param name="shuffle" value="simple"/> | 134 <param name="shuffle" value="simple" /> |
138 <param name="test_size" value="0.2"/> | 135 <param name="test_size" value="0.2" /> |
139 <param name="random_state" value="456"/> | 136 <param name="random_state" value="456" /> |
140 </conditional> | 137 </conditional> |
141 </section> | 138 </section> |
142 <section name="metrics"> | 139 <section name="metrics"> |
143 <conditional name="scoring"> | 140 <conditional name="scoring"> |
144 <param name="primary_scoring" value="r2"/> | 141 <param name="primary_scoring" value="r2" /> |
145 <param name="secondary_scoring" value="neg_mean_absolute_error"/> | 142 <param name="secondary_scoring" value="neg_mean_absolute_error" /> |
146 </conditional> | 143 </conditional> |
147 </section> | 144 </section> |
148 </conditional> | 145 </conditional> |
149 <param name="infile1" value="regression_X.tabular" ftype="tabular"/> | 146 <param name="infile1" value="regression_X.tabular" ftype="tabular" /> |
150 <param name="header1" value="true" /> | 147 <param name="header1" value="true" /> |
151 <param name="selected_column_selector_option" value="all_columns"/> | 148 <param name="selected_column_selector_option" value="all_columns" /> |
152 <param name="infile2" value="regression_y.tabular" ftype="tabular"/> | 149 <param name="infile2" value="regression_y.tabular" ftype="tabular" /> |
153 <param name="header2" value="true" /> | 150 <param name="header2" value="true" /> |
154 <param name="selected_column_selector_option2" value="all_columns"/> | 151 <param name="selected_column_selector_option2" value="all_columns" /> |
155 <param name="save" value="save_estimator"/> | 152 <param name="save" value="save_estimator" /> |
156 <output name="outfile_result"> | 153 <output name="outfile_result"> |
157 <assert_contents> | 154 <assert_contents> |
158 <has_n_columns n="2"/> | 155 <has_n_columns n="2" /> |
159 <has_text text="0.6626"/> | 156 <has_text text="0.638" /> |
160 <has_text text="5.598"/> | 157 <has_text text="-6.072" /> |
161 </assert_contents> | 158 </assert_contents> |
162 </output> | 159 </output> |
163 <output name="outfile_object" file="train_test_eval_model01" compare="sim_size" delta="5"/> | 160 <output name="outfile_object" file="train_test_eval_model01" compare="sim_size" delta="50" /> |
164 <output name="outfile_weights" file="train_test_eval_weights01.h5" compare="sim_size" delta="5"/> | 161 <output name="outfile_weights" file="train_test_eval_weights01.h5" compare="sim_size" delta="50" /> |
165 </test> | 162 </test> |
166 <test> | 163 <test> |
167 <conditional name="experiment_schemes"> | 164 <conditional name="experiment_schemes"> |
168 <param name="selected_exp_scheme" value="train_val_test"/> | 165 <param name="selected_exp_scheme" value="train_val_test" /> |
169 <param name="infile_estimator" value="keras_model04" ftype="zip"/> | 166 <param name="infile_estimator" value="keras_model04" ftype="zip" /> |
170 <section name="hyperparams_swapping"> | 167 <section name="hyperparams_swapping"> |
171 <param name="infile_params" value="keras_params04.tabular" ftype="tabular"/> | 168 <param name="infile_params" value="keras_params04.tabular" ftype="tabular" /> |
172 <repeat name="param_set"> | 169 <repeat name="param_set"> |
173 <param name="sp_value" value="999"/> | 170 <param name="sp_value" value="999" /> |
174 <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed"/> | 171 <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed" /> |
175 </repeat> | 172 </repeat> |
176 <repeat name="param_set"> | 173 <repeat name="param_set"> |
177 <param name="sp_value" value="999"/> | 174 <param name="sp_value" value="999" /> |
178 <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed"/> | 175 <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed" /> |
179 </repeat> | 176 </repeat> |
180 <repeat name="param_set"> | 177 <repeat name="param_set"> |
181 <param name="sp_value" value="0.1"/> | 178 <param name="sp_value" value="0.1" /> |
182 <param name="sp_name" value="lr"/> | 179 <param name="sp_name" value="lr" /> |
183 </repeat> | 180 </repeat> |
184 <repeat name="param_set"> | 181 <repeat name="param_set"> |
185 <param name="sp_value" value="'adamax'"/> | 182 <param name="sp_value" value="'adamax'" /> |
186 <param name="sp_name" value="optimizer"/> | 183 <param name="sp_name" value="optimizer" /> |
187 </repeat> | 184 </repeat> |
188 </section> | 185 </section> |
189 <section name="test_split"> | 186 <section name="test_split"> |
190 <conditional name="split_algos"> | 187 <conditional name="split_algos"> |
191 <param name="shuffle" value="group"/> | 188 <param name="shuffle" value="group" /> |
192 <param name="group_names" value="test"/> | 189 <param name="group_names" value="test" /> |
193 <section name="groups_selector"> | 190 <section name="groups_selector"> |
194 <param name="infile_g" value="regression_groups.tabular" ftype="tabular"/> | 191 <param name="infile_g" value="regression_groups.tabular" ftype="tabular" /> |
195 <param name="header_g" value="true"/> | 192 <param name="header_g" value="true" /> |
196 <conditional name="column_selector_options_g"> | 193 <conditional name="column_selector_options_g"> |
197 <param name="selected_column_selector_option_g" value="by_index_number"/> | 194 <param name="selected_column_selector_option_g" value="by_index_number" /> |
198 <param name="col_g" value="1"/> | 195 <param name="col_g" value="1" /> |
199 </conditional> | 196 </conditional> |
200 </section> | 197 </section> |
201 </conditional> | 198 </conditional> |
202 </section> | 199 </section> |
203 <section name="val_split"> | 200 <section name="val_split"> |
204 <conditional name="split_algos"> | 201 <conditional name="split_algos"> |
205 <param name="shuffle" value="group"/> | 202 <param name="shuffle" value="group" /> |
206 <param name="group_names" value="validation"/> | 203 <param name="group_names" value="validation" /> |
207 </conditional> | 204 </conditional> |
208 </section> | 205 </section> |
209 <section name="metrics"> | 206 <section name="metrics"> |
210 <conditional name="scoring"> | 207 <conditional name="scoring"> |
211 <param name="primary_scoring" value="r2"/> | 208 <param name="primary_scoring" value="r2" /> |
212 <param name="secondary_scoring" value="neg_mean_absolute_error"/> | 209 <param name="secondary_scoring" value="neg_mean_absolute_error" /> |
213 </conditional> | 210 </conditional> |
214 </section> | 211 </section> |
215 </conditional> | 212 </conditional> |
216 <param name="infile1" value="regression_X.tabular" ftype="tabular"/> | 213 <param name="infile1" value="regression_X.tabular" ftype="tabular" /> |
217 <param name="header1" value="true" /> | 214 <param name="header1" value="true" /> |
218 <param name="selected_column_selector_option" value="all_columns"/> | 215 <param name="selected_column_selector_option" value="all_columns" /> |
219 <param name="infile2" value="regression_y.tabular" ftype="tabular"/> | 216 <param name="infile2" value="regression_y.tabular" ftype="tabular" /> |
220 <param name="header2" value="true" /> | 217 <param name="header2" value="true" /> |
221 <param name="selected_column_selector_option2" value="all_columns"/> | 218 <param name="selected_column_selector_option2" value="all_columns" /> |
222 <param name="save" value="save_estimator,save_prediction"/> | 219 <param name="save" value="save_estimator,save_prediction" /> |
223 <output name="outfile_result" > | 220 <output name="outfile_result"> |
224 <assert_contents> | 221 <assert_contents> |
225 <has_n_columns n="2"/> | 222 <has_n_columns n="2" /> |
226 <has_text text="0.667"/> | 223 <has_text text="0.627" /> |
227 <has_text text="5.586"/> | 224 <has_text text="-6.012" /> |
228 </assert_contents> | 225 </assert_contents> |
229 </output> | 226 </output> |
230 <output name="outfile_weights" file="train_test_eval_weights02.h5" compare="sim_size" delta="5"/> | 227 <output name="outfile_weights" file="train_test_eval_weights02.h5" compare="sim_size" delta="50" /> |
231 <output name="outfile_y_true" file="keras_train_eval_y_true02.tabular" ftype="tabular"/> | 228 <output name="outfile_y_true" file="keras_train_eval_y_true02.tabular" ftype="tabular" /> |
232 </test> | 229 </test> |
233 <test> | 230 <test> |
234 <conditional name="experiment_schemes"> | 231 <conditional name="experiment_schemes"> |
235 <param name="selected_exp_scheme" value="train_val"/> | 232 <param name="selected_exp_scheme" value="train_val" /> |
236 <param name="infile_estimator" value="pipeline10" ftype="zip"/> | 233 <param name="infile_estimator" value="pipeline10" ftype="zip" /> |
237 <section name="hyperparams_swapping"> | 234 <section name="hyperparams_swapping"> |
238 <param name="infile_params" value="get_params10.tabular" ftype="tabular"/> | 235 <param name="infile_params" value="get_params10.tabular" ftype="tabular" /> |
239 <repeat name="param_set"> | 236 <repeat name="param_set"> |
240 <param name="sp_value" value="10"/> | 237 <param name="sp_value" value="10" /> |
241 <param name="sp_name" value="adaboostregressor__random_state"/> | 238 <param name="sp_name" value="adaboostregressor__random_state" /> |
242 </repeat> | 239 </repeat> |
243 <repeat name="param_set"> | 240 <repeat name="param_set"> |
244 <param name="sp_value" value=": sklearn_tree.ExtraTreeRegressor(random_state=0)"/> | 241 <param name="sp_value" value=": sklearn_tree.ExtraTreeRegressor(random_state=0)" /> |
245 <param name="sp_name" value="adaboostregressor__base_estimator"/> | 242 <param name="sp_name" value="adaboostregressor__base_estimator" /> |
246 </repeat> | 243 </repeat> |
247 </section> | 244 </section> |
248 <section name="test_split"> | 245 <section name="test_split"> |
249 <conditional name="split_algos"> | 246 <conditional name="split_algos"> |
250 <param name="shuffle" value="simple"/> | 247 <param name="shuffle" value="simple" /> |
251 <param name="test_size" value="0.2"/> | 248 <param name="test_size" value="0.2" /> |
252 <param name="random_state" value="123"/> | 249 <param name="random_state" value="123" /> |
253 </conditional> | 250 </conditional> |
254 </section> | 251 </section> |
255 <section name="val_split"> | 252 <section name="val_split"> |
256 <conditional name="split_algos"> | 253 <conditional name="split_algos"> |
257 <param name="shuffle" value="simple"/> | 254 <param name="shuffle" value="simple" /> |
258 <param name="test_size" value="0.2"/> | 255 <param name="test_size" value="0.2" /> |
259 <param name="random_state" value="456"/> | 256 <param name="random_state" value="456" /> |
260 </conditional> | 257 </conditional> |
261 </section> | 258 </section> |
262 <section name="metrics"> | 259 <section name="metrics"> |
263 <conditional name="scoring"> | 260 <conditional name="scoring"> |
264 <param name="primary_scoring" value="r2"/> | 261 <param name="primary_scoring" value="r2" /> |
265 <param name="secondary_scoring" value="neg_mean_absolute_error"/> | 262 <param name="secondary_scoring" value="neg_mean_absolute_error" /> |
266 </conditional> | 263 </conditional> |
267 </section> | 264 </section> |
268 </conditional> | 265 </conditional> |
269 <param name="infile1" value="regression_X.tabular" ftype="tabular"/> | 266 <param name="infile1" value="regression_X.tabular" ftype="tabular" /> |
270 <param name="header1" value="true" /> | 267 <param name="header1" value="true" /> |
271 <param name="selected_column_selector_option" value="all_columns"/> | 268 <param name="selected_column_selector_option" value="all_columns" /> |
272 <param name="infile2" value="regression_y.tabular" ftype="tabular"/> | 269 <param name="infile2" value="regression_y.tabular" ftype="tabular" /> |
273 <param name="header2" value="true" /> | 270 <param name="header2" value="true" /> |
274 <param name="selected_column_selector_option2" value="all_columns"/> | 271 <param name="selected_column_selector_option2" value="all_columns" /> |
275 <param name="save" value=""/> | 272 <param name="save" value="" /> |
276 <output name="outfile_result" file="train_test_eval03.tabular"/> | 273 <output name="outfile_result" file="train_test_eval03.tabular" /> |
277 </test> | 274 </test> |
278 </tests> | 275 </tests> |
279 <help> | 276 <help> |
280 <![CDATA[ | 277 <![CDATA[ |
281 **What it does** | 278 **What it does** |
305 - true labels or values and predicted values from the evaluation | 302 - true labels or values and predicted values from the evaluation |
306 | 303 |
307 ]]> | 304 ]]> |
308 </help> | 305 </help> |
309 <expand macro="sklearn_citation"> | 306 <expand macro="sklearn_citation"> |
310 <expand macro="keras_citation"/> | 307 <expand macro="keras_citation" /> |
311 </expand> | 308 </expand> |
312 </tool> | 309 </tool> |