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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=Preprocessing.preprocessingOpenML14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC))

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=Preprocessing.preprocessingOpenML14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC))

Visibility: public Uploaded 10-11-2017 by Jasmine Robinson sklearn==0.19.0 numpy>=1.6.1 scipy>=0.9 0 runs
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estimator

sklearn.pipeline.Pipeline(imputation=Preprocessing.preprocessingOpenML14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC)(2)

Parameters

cv		default: 2
error_score		default: "raise"
estimator		default: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_params		default: null
iid		default: true
n_iter		default: 1
n_jobs		default: 1
param_distributions		default: {"classifier__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "Distributions.loguniform.loguniform_gen", "a": 0.03125, "b": 32768, "args": [], "kwds": {"base": 2, "low": 0.03125, "high": 32768}}}, "classifier__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "Distributions.loguniform.loguniform_gen", "a": 3.0517578125e-05, "b": 8, "args": [], "kwds": {"base": 2, "low": 3.0517578125e-05, "high": 8}}}, "classifier__shrinking": [true, false], "classifier__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "Distributions.loguniform.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [], "kwds": {"base": 2, "low": 1e-05, "high": 0.1}}}, "imputation__strategy": ["mean", "median", "most_frequent"]}
pre_dispatch		default: "2*n_jobs"
random_state		default: 1
refit		default: true
return_train_score		default: true
scoring		default: null
verbose		default: 0

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