Mercurial > repos > bgruening > sklearn_numeric_clustering

annotate test-data/get_params06.tabular @ 44:bb9fc9d46ea4 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
author bgruening
date Mon, 02 Oct 2023 09:42:16 +0000
parents abb5a3f256e3
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abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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diff changeset
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: [('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None,
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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4 svd_solver='auto', tol=0.0, whiten=False)), ('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
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5 n_estimators=50, random_state=None))]"
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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6 @ pca "pca: PCA(copy=True, iterated_power='auto', n_components=None, random_state=None,
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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7 svd_solver='auto', tol=0.0, whiten=False)"
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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8 @ 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:
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9 n_estimators=50, random_state=None)"
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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10 @ pca__copy pca__copy: True
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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11 @ pca__iterated_power pca__iterated_power: 'auto'
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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12 @ pca__n_components pca__n_components: None
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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13 @ pca__random_state pca__random_state: None
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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14 @ pca__svd_solver pca__svd_solver: 'auto'
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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15 @ pca__tol pca__tol: 0.0
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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16 @ pca__whiten pca__whiten: False
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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17 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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18 @ 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
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19 @ adaboostregressor__loss adaboostregressor__loss: 'linear'
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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20 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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21 @ adaboostregressor__random_state adaboostregressor__random_state: None
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
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22 Note: @, searchable params in searchcv too.