| sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar
dScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifie
r(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ens
emble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGr
adientBoostingClassifier))(1) | Automatically created scikit-learn flow. |
| sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrap | True |
| sklearn.ensemble.forest.RandomForestClassifier(16)_class_weight | None |
| sklearn.ensemble.forest.RandomForestClassifier(16)_criterion | entropy |
| sklearn.ensemble.forest.RandomForestClassifier(16)_max_depth | None |
| sklearn.ensemble.forest.RandomForestClassifier(16)_max_features | 0.1 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodes | None |
| sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split | 1e-07 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf | 2 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split | 2 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf | 0.0 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators | 2048 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs | -1 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_oob_score | False |
| sklearn.ensemble.forest.RandomForestClassifier(16)_random_state | None |
| sklearn.ensemble.forest.RandomForestClassifier(16)_verbose | 0 |
| sklearn.ensemble.forest.RandomForestClassifier(16)_warm_start | False |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_criterion | friedman_mse |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_init | None |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_learning_rate | 0.01 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_loss | deviance |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_depth | 8 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_features | sqrt |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_leaf_nodes | None |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_impurity_split | 1e-07 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_samples_leaf | 2 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_samples_split | 2 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_weight_fraction_leaf | 0.0 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_n_estimators | 1024 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_presort | auto |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_random_state | None |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_subsample | 1.0 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_verbose | 0 |
| sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_warm_start | False |
| sklearn.preprocessing.data.StandardScaler(1)_copy | True |
| sklearn.preprocessing.data.StandardScaler(1)_with_mean | True |
| sklearn.preprocessing.data.StandardScaler(1)_with_std | True |
| sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier))(1)_steps | [('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('votingclassifier', VotingClassifier(estimators=[('voting', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features=0.1, max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
...4, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False))],
n_jobs=-1, voting='soft', weights=[2, 3, 3]))] |
| sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_estimators | [('voting', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features=0.1, max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=2048, n_jobs=-1, oob_score=False,
random_state=None, verbose=0, warm_start=False)), ('weights', GradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.01, loss='deviance', max_depth=8,
max_features='sqrt', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=1024, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False)), ('n_jobs', SecondGradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.01, loss='deviance', max_depth=8,
max_featur |
| sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_n_jobs | SecondGradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.01, loss='deviance', max_depth=8,
max_features='sqrt', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=1024, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False) |
| sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_voting | RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features=0.1, max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=2048, n_jobs=-1, oob_score=False,
random_state=None, verbose=0, warm_start=False) |
| sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_weights | GradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.01, loss='deviance', max_depth=8,
max_features='sqrt', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=1024, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False) |
| __main__.SecondGradientBoostingClassifier(1)_criterion | friedman_mse |
| __main__.SecondGradientBoostingClassifier(1)_init | None |
| __main__.SecondGradientBoostingClassifier(1)_learning_rate | 0.01 |
| __main__.SecondGradientBoostingClassifier(1)_loss | deviance |
| __main__.SecondGradientBoostingClassifier(1)_max_depth | 8 |
| __main__.SecondGradientBoostingClassifier(1)_max_features | sqrt |
| __main__.SecondGradientBoostingClassifier(1)_max_leaf_nodes | None |
| __main__.SecondGradientBoostingClassifier(1)_min_impurity_split | 1e-07 |
| __main__.SecondGradientBoostingClassifier(1)_min_samples_leaf | 2 |
| __main__.SecondGradientBoostingClassifier(1)_min_samples_split | 2 |
| __main__.SecondGradientBoostingClassifier(1)_min_weight_fraction_leaf | 0.0 |
| __main__.SecondGradientBoostingClassifier(1)_n_estimators | 1024 |
| __main__.SecondGradientBoostingClassifier(1)_presort | auto |
| __main__.SecondGradientBoostingClassifier(1)_random_state | None |
| __main__.SecondGradientBoostingClassifier(1)_subsample | 1.0 |
| __main__.SecondGradientBoostingClassifier(1)_verbose | 0 |
| __main__.SecondGradientBoostingClassifier(1)_warm_start | False |