Mercurial > repos > bgruening > keras_train_and_eval
annotate test-data/get_params06.tabular @ 3:f1b9a42d6809 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2afb24f3c81d625312186750a714d702363012b5"
author | bgruening |
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date | Thu, 01 Oct 2020 21:12:39 +0000 |
parents | 03f61bb3ca43 |
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rev | line source |
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03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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1 Parameter Value |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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2 * memory memory: None |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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3 * steps "steps: [('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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4 svd_solver='auto', tol=0.0, whiten=False)), ('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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5 n_estimators=50, random_state=None))]" |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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6 @ pca "pca: PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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7 svd_solver='auto', tol=0.0, whiten=False)" |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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8 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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9 n_estimators=50, random_state=None)" |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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10 @ pca__copy pca__copy: True |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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11 @ pca__iterated_power pca__iterated_power: 'auto' |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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12 @ pca__n_components pca__n_components: None |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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13 @ pca__random_state pca__random_state: None |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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14 @ pca__svd_solver pca__svd_solver: 'auto' |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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15 @ pca__tol pca__tol: 0.0 |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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16 @ pca__whiten pca__whiten: False |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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17 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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18 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0 |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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19 @ adaboostregressor__loss adaboostregressor__loss: 'linear' |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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20 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50 |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
changeset
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21 @ adaboostregressor__random_state adaboostregressor__random_state: None |
03f61bb3ca43
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
diff
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22 Note: @, searchable params in searchcv too. |