Metadata-Version: 2.1
Name: sklearn_cv_pandas
Version: 0.0.1
Summary: RandomizedSearchCV/GridSearchCV with pandas.DataFrame interface
Home-page: https://github.com/not-so-fat/sklearn_cv_pandas
Author: @not-so-fat
License: UNKNOWN
Description: # sklearn-cv-pandas
        RandomizedSearchCV/GridSearchCV with pandas.DataFrame interface
        
        ## Installation
        ```
        pip install sklearn_cv_pandas
        ```
        
        ## Usage
        
        To tune hyper parameters, instantiate CV as the same as original ones, and use methods `fit_sv_pandas` or `fit_cv_pandas`
        ```
        from scipy import stats
        from sklearn import linear_model
        from sklearn_cv_pandas import RandomizedSearchCV
        
        estimator = linear_model.Lasso()
        param_dist = dict(alpha=stats.loguniform(1e-5, 10))
        cv = RandomizedSearchCV(estimator, param_dist, scoring="mean_absolute_error")
        model = cv.fit_cv_pandas(
            df, target_column="y", feature_columns=["x{}".format(i) for i in range(100)], n_fold=5
        )
        ```
        
        To make prediction, use method `predict` of the output of `fit_sv_pandas` or `fit_cv_pandas`
        
        ```
        model.predict(df)
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
