Mercurial > repos > bgruening > sklearn_model_fit

annotate test-data/get_params10.tabular @ 10:5dd3f77a2257 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
author bgruening
date Fri, 27 May 2022 12:01:34 +0000
parents 734c66aa945a
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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1 Parameter Value
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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2 * memory memory: None
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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3 * steps "steps: [('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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4 n_estimators=50, random_state=None))]"
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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5 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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6 n_estimators=50, random_state=None)"
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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7 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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8 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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9 @ adaboostregressor__loss adaboostregressor__loss: 'linear'
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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10 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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11 @ adaboostregressor__random_state adaboostregressor__random_state: None
734c66aa945a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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12 Note: @, params eligible for search in searchcv tool.