def fit_then_transform_dense(expected, input, categorical_features='all', minimum_fraction=None): ohe = OneHotEncoder(categorical_features=categorical_features, sparse=False, minimum_fraction=minimum_fraction) transformation = ohe.fit_transform(input.copy()) assert_array_almost_equal(expected, transformation) ohe2 = OneHotEncoder(categorical_features=categorical_features, sparse=False, minimum_fraction=minimum_fraction) ohe2.fit(input.copy()) transformation = ohe2.transform(input.copy()) assert_array_almost_equal(expected, transformation)
def fit_then_transform_dense(expected, input, categorical_features='all', minimum_fraction=None): ohe = OneHotEncoder(categorical_features=categorical_features, sparse=False, minimum_fraction=minimum_fraction) transformation = ohe.fit_transform(input.copy()) assert_array_almost_equal(expected, transformation) ohe2 = OneHotEncoder(categorical_features=categorical_features, sparse=False, minimum_fraction=minimum_fraction) ohe2.fit(input.copy()) transformation = ohe2.transform(input.copy()) assert_array_almost_equal(expected, transformation)
def fit_then_transform(expected, input, categorical_features='all', minimum_fraction=None): # Test fit_transform ohe = OneHotEncoder(categorical_features=categorical_features, minimum_fraction=minimum_fraction) transformation = ohe.fit_transform(input.copy()) assert_array_almost_equal(expected.astype(float), transformation.todense()) # Test fit, and afterwards transform ohe2 = OneHotEncoder(categorical_features=categorical_features, minimum_fraction=minimum_fraction) ohe2.fit(input.copy()) transformation = ohe2.transform(input.copy()) assert_array_almost_equal(expected, transformation.todense())
def fit_then_transform(expected, input, categorical_features='all', minimum_fraction=None): # Test fit_transform ohe = OneHotEncoder(categorical_features=categorical_features, minimum_fraction=minimum_fraction) transformation = ohe.fit_transform(input.copy()) assert_array_almost_equal(expected.astype(float), transformation.todense()) # Test fit, and afterwards transform ohe2 = OneHotEncoder(categorical_features=categorical_features, minimum_fraction=minimum_fraction) ohe2.fit(input.copy()) transformation = ohe2.transform(input.copy()) assert_array_almost_equal(expected, transformation.todense())