DEVELOPMENT... OpenML
Flow
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier))

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier))

Visibility: public Uploaded 16-04-2018 by Morgan Bentley sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 4134 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python python scikit-learn sklearn sklearn_0.19.1 study_98
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Automatically created scikit-learn flow.

Components

Parameters

cvdefault: 3
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_paramsdefault: null
iiddefault: true
n_iterdefault: 50
n_jobsdefault: -1
param_distributionsdefault: {"clf__bootstrap": [true, false], "clf__criterion": ["gini", "entropy"], "clf__max_features": [0.05685145935354432], "clf__min_samples_leaf": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 20, "args": [], "kwds": {"low": 1, "high": 21}}}, "clf__min_samples_split": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 2, "b": 20, "args": [], "kwds": {"low": 2, "high": 21}}}, "clf__n_estimators": [300], "clf__random_state": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 100000, "args": [], "kwds": {"low": 1, "high": 100001}}}}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: 1
refitdefault: true
return_train_scoredefault: "warn"
scoringdefault: null
verbosedefault: 1

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table