Mercurial > repos > bgruening > sklearn_data_preprocess

comparison test-data/pipeline_params18 @ 35:0e5fcf7ddc75 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author bgruening
date Tue, 13 Apr 2021 18:53:33 +0000
parents eb79bde99328
children
comparison
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34:eb9da067ab26 35:0e5fcf7ddc75
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