def transform_paa(self, X):
"""
Prepares the ``X`` data provided in parameter for encoding``tslearn``.
Then transforms ``X`` data into parameter in PAA.
:param numpy.ndarray X: Data to transform
:returns: Transformed data in PAA
:rtype: numpy.ndarray
"""
X_ = to_time_series_dataset(X)
return PiecewiseAggregateApproximation._transform(self, X_)
def _transform(self, X, card):
"""
Transforms ``X`` data in parameter first into PAA and then in cardinate cardinality ``card``.
:param numpy.ndarray X: Data to transform
:param int card: Cardinality to use for processing
:returns: Transformed data in SAX
:rtype: numpy.ndarray
"""
X_paa = PiecewiseAggregateApproximation._transform(self, X)
return self._transform_paa_to_isax(X_paa, card)
