autoflow.feature_engineer.operate package

Submodules

autoflow.feature_engineer.operate.drop_all module

class autoflow.feature_engineer.operate.drop_all.DropAll[source]

Bases: sklearn.base.TransformerMixin, sklearn.base.BaseEstimator

fit(X=None, y=None)[source]
fit_transform(X, y=None, **fit_params)[source]

Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.

Parameters

  • X (numpy array of shape [n_samples, n_features]) – Training set.

  • y (numpy array of shape [n_samples]) – Target values.

  • **fit_params (dict) – Additional fit parameters.

Returns

X_new – Transformed array.

Return type

numpy array of shape [n_samples, n_features_new]

transform(X, y=None)[source]

Module contents