| sklearn.pipeline.Pipeline(Imputer=openml.utils.preprocessing.ConditionalImputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,VarianceThreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,Estimator=sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC))(1)_steps | [('Imputer', ConditionalImputer(axis=0, categorical_features=[], copy=True,
empty_attribute_constant=0, missing_values='NaN',
strategy='median', strategy_nominal='most_frequent', verbose=0)), ('OneHotEncoder', OneHotEncoder(categorical_features=[], dtype=,
handle_unknown='ignore', n_values='auto', sparse=False)), ('VarianceThreshold', VarianceThreshold(threshold=0.0)), ('Estimator', RandomizedSearchCV(cv=3, error_score='raise',
estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False),
fit_params={}, iid=True, n_iter=200, n_jobs=1,
param_distributions={'gamma': [0.000244140625, 0.00048828125, 0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096], 'C': [0.0002441 |
| sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(1)_estimator | SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False) |
| sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(1)_param_distributions | {'gamma': [0.000244140625, 0.00048828125, 0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096], 'C': [0.000244140625, 0.00048828125, 0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096]} |