Mercurial > repos > bgruening > sklearn_numeric_clustering

annotate test-data/get_params10.tabular @ 33:ad7e0b4291ee draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2afb24f3c81d625312186750a714d702363012b5"
author bgruening
date Thu, 01 Oct 2020 20:40:11 +0000
parents abb5a3f256e3
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Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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1 Parameter Value
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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2 * memory memory: None
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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3 * steps "steps: [('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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4 n_estimators=50, random_state=None))]"
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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5 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
6 n_estimators=50, random_state=None)"
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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7 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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8 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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9 @ adaboostregressor__loss adaboostregressor__loss: 'linear'
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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10 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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11 @ adaboostregressor__random_state adaboostregressor__random_state: None
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
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12 Note: @, params eligible for search in searchcv tool.