Mercurial > repos > bgruening > sklearn_generalized_linear
comparison test-data/pipeline_params18 @ 35:602edec75e1d draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
| author | bgruening |
|---|---|
| date | Tue, 13 Apr 2021 17:25:00 +0000 |
| parents | a8c7b9fa426c |
| children |
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| 34:40f4447733b2 | 35:602edec75e1d |
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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 |