annotate test-data/get_params09.tabular @ 6:13b9ac5d277c draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
author bgruening
date Tue, 13 Apr 2021 22:24:07 +0000
parents 0985b0dd6f1a
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0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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1 Parameter Value
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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2 * memory memory: None
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3 * steps "steps: [('relieff', ReliefF(discrete_threshold=10, n_features_to_select=3, n_jobs=1,
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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4 n_neighbors=100, verbose=False)), ('randomforestregressor', RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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5 max_features='auto', max_leaf_nodes=None,
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6 min_impurity_decrease=0.0, min_impurity_split=None,
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7 min_samples_leaf=1, min_samples_split=2,
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8 min_weight_fraction_leaf=0.0, n_estimators='warn', n_jobs=1,
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9 oob_score=False, random_state=None, verbose=0, warm_start=False))]"
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10 @ relieff "relieff: ReliefF(discrete_threshold=10, n_features_to_select=3, n_jobs=1,
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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11 n_neighbors=100, verbose=False)"
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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12 @ randomforestregressor "randomforestregressor: RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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13 max_features='auto', max_leaf_nodes=None,
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14 min_impurity_decrease=0.0, min_impurity_split=None,
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15 min_samples_leaf=1, min_samples_split=2,
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16 min_weight_fraction_leaf=0.0, n_estimators='warn', n_jobs=1,
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17 oob_score=False, random_state=None, verbose=0, warm_start=False)"
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18 @ relieff__discrete_threshold relieff__discrete_threshold: 10
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19 @ relieff__n_features_to_select relieff__n_features_to_select: 3
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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20 * relieff__n_jobs relieff__n_jobs: 1
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21 @ relieff__n_neighbors relieff__n_neighbors: 100
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22 * relieff__verbose relieff__verbose: False
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23 @ randomforestregressor__bootstrap randomforestregressor__bootstrap: True
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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24 @ randomforestregressor__criterion randomforestregressor__criterion: 'mse'
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25 @ randomforestregressor__max_depth randomforestregressor__max_depth: None
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26 @ randomforestregressor__max_features randomforestregressor__max_features: 'auto'
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27 @ randomforestregressor__max_leaf_nodes randomforestregressor__max_leaf_nodes: None
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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28 @ randomforestregressor__min_impurity_decrease randomforestregressor__min_impurity_decrease: 0.0
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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29 @ randomforestregressor__min_impurity_split randomforestregressor__min_impurity_split: None
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30 @ randomforestregressor__min_samples_leaf randomforestregressor__min_samples_leaf: 1
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31 @ randomforestregressor__min_samples_split randomforestregressor__min_samples_split: 2
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32 @ randomforestregressor__min_weight_fraction_leaf randomforestregressor__min_weight_fraction_leaf: 0.0
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33 @ randomforestregressor__n_estimators randomforestregressor__n_estimators: 'warn'
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34 * randomforestregressor__n_jobs randomforestregressor__n_jobs: 1
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35 @ randomforestregressor__oob_score randomforestregressor__oob_score: False
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36 @ randomforestregressor__random_state randomforestregressor__random_state: None
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37 * randomforestregressor__verbose randomforestregressor__verbose: 0
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38 @ randomforestregressor__warm_start randomforestregressor__warm_start: False
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39 Note: @, searchable params in searchcv too.