JavaScript is required to properly view the contents of this page!

Explore
- Data
- Task
- Flow
- Run
- Study
- Task type
- Measure
- People
Help
Blog
Contact
Please cite us

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))

Visibility: public Uploaded 14-08-2018 by Jason sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Loading wiki

Help us complete this description Edit

Automatically created scikit-learn flow.

Components

estimator

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(3)

Parameters

cv		default: null
error_score		default: "raise"
estimator		default: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_params
iid		default: true
n_iter		default: 1
n_jobs		default: -1
param_distributions		default: {"classifier__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmldefaults.search.distributions.loguniform_gen", "a": 0.03125, "b": 32768.0, "args": [2, 0.03125, 32768.0], "kwds": {}}}, "classifier__coef0": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.uniform_gen", "a": 0.0, "b": 1.0, "args": [], "kwds": {"loc": -1.0, "scale": 2.0}}}, "classifier__degree": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 5, "args": [1, 6], "kwds": {}}}, "classifier__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmldefaults.search.distributions.loguniform_gen", "a": 3.0517578125e-05, "b": 8.0, "args": [2, 3.0517578125e-05, 8.0], "kwds": {}}}, "classifier__kernel": ["rbf", "poly", "sigmoid"], "classifier__max_iter": [-1], "classifier__shrinking": [true, false], "classifier__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmldefaults.search.distributions.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [2, 1e-05, 0.1], "kwds": {}}}, "imputation__strategy": ["mean", "median", "most_frequent"]}
pre_dispatch		default: "2*n_jobs"
random_state		default: 42
refit		default: true
return_train_score		default: true
scoring		default: "accuracy"
verbose		default: 0

0
Runs

List all runs

Parameter:

Rendering chart

Rendering table

Sign in

Components

Parameters

0 Runs

0
Runs