dtoolkit.transformer.RavelTF

class dtoolkit.transformer.RavelTF(*args, **kwargs)

A transformer could return a contiguous flattened array.

This transformer is used to handle that sklearn model requires y’s shape is (n, ). But actually we always forget this. So you would get a DataConversionWarning

DataConversionWarning: A column-vector y was passed when a 1d array
was expected. Please change the shape of y to (n_samples, ), for
example using ravel().

See also

numpy.ravel

This transformer’s prototype method.

Examples

>>> from dtoolkit.transformer import RavelTF
>>> x = np.array([[1, 2, 3], [4, 5, 6]])
>>> tf = RavelTF()

RavelTF.transform(), flatten data:

>>> transformed_data = tf.transform(x)
>>> transformed_data
array([1, 2, 3, 4, 5, 6])

RavelTF.inverse_transform(), transform data to Series:

>>> tf.inverse_transform(transformed_data).astype('int64')
0    1
1    2
2    3
3    4
4    5
5    6
dtype: int64

Attributes:

inverse_transform_method

Methods

fit(*_)	Fit transformer.
fit_transform(X[, y])	Fit to data, then transform it.
inverse_transform(X)	Transform X to a column Series (1D data).
set_output(*[, transform])	Set output container.
transform(X)	Transform X.
transform_method(a[, order])	Return a contiguous flattened array.
update_invargs(*args, **kwargs)	Inverse transform method argument entry.