Mercurial > repos > bgruening > keras_batch_models
comparison test-data/pipeline_params18 @ 9:0a3f113397b2 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author | bgruening |
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date | Tue, 13 Apr 2021 17:29:01 +0000 |
parents | 62b85c8ad8fa |
children |
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8:508ce0649bec | 9:0a3f113397b2 |
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45 ignore_implicit_zeros=False, | 45 ignore_implicit_zeros=False, |
46 n_quantiles=1000, | 46 n_quantiles=1000, |
47 output_distribution='uniform', | 47 output_distribution='uniform', |
48 random_state=10, | 48 random_state=10, |
49 subsample=100000))" | 49 subsample=100000))" |
50 * verbose verbose: False | 50 @ verbose verbose: False |
51 @ powertransformer__copy powertransformer__copy: True | 51 @ powertransformer__copy powertransformer__copy: True |
52 @ powertransformer__method powertransformer__method: 'yeo-johnson' | 52 @ powertransformer__method powertransformer__method: 'yeo-johnson' |
53 @ powertransformer__standardize powertransformer__standardize: True | 53 @ powertransformer__standardize powertransformer__standardize: True |
54 @ transformedtargetregressor__check_inverse transformedtargetregressor__check_inverse: True | 54 @ transformedtargetregressor__check_inverse transformedtargetregressor__check_inverse: True |
55 @ transformedtargetregressor__func transformedtargetregressor__func: None | 55 @ transformedtargetregressor__func transformedtargetregressor__func: None |
73 @ transformedtargetregressor__regressor__min_weight_fraction_leaf transformedtargetregressor__regressor__min_weight_fraction_leaf: 0.0 | 73 @ transformedtargetregressor__regressor__min_weight_fraction_leaf transformedtargetregressor__regressor__min_weight_fraction_leaf: 0.0 |
74 @ transformedtargetregressor__regressor__n_estimators transformedtargetregressor__regressor__n_estimators: 'warn' | 74 @ transformedtargetregressor__regressor__n_estimators transformedtargetregressor__regressor__n_estimators: 'warn' |
75 * transformedtargetregressor__regressor__n_jobs transformedtargetregressor__regressor__n_jobs: 1 | 75 * transformedtargetregressor__regressor__n_jobs transformedtargetregressor__regressor__n_jobs: 1 |
76 @ transformedtargetregressor__regressor__oob_score transformedtargetregressor__regressor__oob_score: False | 76 @ transformedtargetregressor__regressor__oob_score transformedtargetregressor__regressor__oob_score: False |
77 @ transformedtargetregressor__regressor__random_state transformedtargetregressor__regressor__random_state: 10 | 77 @ transformedtargetregressor__regressor__random_state transformedtargetregressor__regressor__random_state: 10 |
78 * transformedtargetregressor__regressor__verbose transformedtargetregressor__regressor__verbose: 0 | 78 @ transformedtargetregressor__regressor__verbose transformedtargetregressor__regressor__verbose: 0 |
79 @ transformedtargetregressor__regressor__warm_start transformedtargetregressor__regressor__warm_start: False | 79 @ transformedtargetregressor__regressor__warm_start transformedtargetregressor__regressor__warm_start: False |
80 @ transformedtargetregressor__transformer "transformedtargetregressor__transformer: QuantileTransformer(copy=True, ignore_implicit_zeros=False, n_quantiles=1000, | 80 @ transformedtargetregressor__transformer "transformedtargetregressor__transformer: QuantileTransformer(copy=True, ignore_implicit_zeros=False, n_quantiles=1000, |
81 output_distribution='uniform', random_state=10, | 81 output_distribution='uniform', random_state=10, |
82 subsample=100000)" | 82 subsample=100000)" |
83 @ transformedtargetregressor__transformer__copy transformedtargetregressor__transformer__copy: True | 83 @ transformedtargetregressor__transformer__copy transformedtargetregressor__transformer__copy: True |