def test_serialize_paa():
X = _get_random_walk()
# PAA transform (and inverse transform) of the data
n_paa_segments = 10
paa = PiecewiseAggregateApproximation(n_segments=n_paa_segments)
_check_not_fitted(paa)
paa.fit(X)
_check_params_predict(paa, X, ['transform'])
def fit(self, X):
"""
Prepares the data for encoding *i*\ SAX according to``PiecewiseAggregateApproximation``
:returns: Received data for encoding, defined by ``tslearn``
:rtype: numpy.ndarray of PiecewiseAggregateApproximation
"""
return PiecewiseAggregateApproximation.fit(self, X)