Mercurial > repos > bgruening > keras_model_config

annotate test-data/get_params12.tabular @ 20:463a197abbd1 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
author bgruening
date Fri, 03 Nov 2023 23:11:53 +0000
parents c3813c64d678
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1046cf73236b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
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1 Parameter Value
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c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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2 @ estimator "estimator: XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,
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1046cf73236b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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3 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0,
1046cf73236b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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4 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100,
1046cf73236b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
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5 n_jobs=1, nthread=None, objective='reg:linear', random_state=0,
1046cf73236b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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6 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,
1046cf73236b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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7 silent=True, subsample=1)"
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c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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8 @ n_features_to_select n_features_to_select: None
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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9 * step step: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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10 * verbose verbose: 0
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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11 @ estimator__base_score estimator__base_score: 0.5
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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12 @ estimator__booster estimator__booster: 'gbtree'
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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13 @ estimator__colsample_bylevel estimator__colsample_bylevel: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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14 @ estimator__colsample_bytree estimator__colsample_bytree: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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15 @ estimator__gamma estimator__gamma: 0
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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16 @ estimator__learning_rate estimator__learning_rate: 0.1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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17 @ estimator__max_delta_step estimator__max_delta_step: 0
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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18 @ estimator__max_depth estimator__max_depth: 3
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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19 @ estimator__min_child_weight estimator__min_child_weight: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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20 @ estimator__missing estimator__missing: nan
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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21 @ estimator__n_estimators estimator__n_estimators: 100
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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22 * estimator__n_jobs estimator__n_jobs: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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23 * estimator__nthread estimator__nthread: None
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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24 @ estimator__objective estimator__objective: 'reg:linear'
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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25 @ estimator__random_state estimator__random_state: 0
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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26 @ estimator__reg_alpha estimator__reg_alpha: 0
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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27 @ estimator__reg_lambda estimator__reg_lambda: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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28 @ estimator__scale_pos_weight estimator__scale_pos_weight: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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29 @ estimator__seed estimator__seed: None
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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30 @ estimator__silent estimator__silent: True
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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31 @ estimator__subsample estimator__subsample: 1
c3813c64d678 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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32 Note: @, params eligible for search in searchcv tool.