def distance_sax(self, sax1, sax2):
"""Compute distance between SAX representations as defined in [1]_.
Parameters
----------
sax1 : array-like
SAX representation of a time series
sax2 : array-like
SAX representation of another time series
Returns
-------
float
SAX distance
References
----------
.. [1] J. Lin, E. Keogh, L. Wei, et al. Experiencing SAX: a novel
symbolic representation of time series.
Data Mining and Knowledge Discovery, 2007. vol. 15(107)
"""
if self.size_fitted_ < 0:
raise ValueError("Model not fitted yet: cannot be used for " +
"distance computation.")
else:
return cydist_sax(sax1, sax2,
self.breakpoints_avg_, self.size_fitted_)
def distance_sax(self, sax1, sax2):
"""Compute distance between SAX representations as defined in [1]_.
Parameters
----------
sax1 : array-like
SAX representation of a time series
sax2 : array-like
SAX representation of another time series
Returns
-------
float
SAX distance
References
----------
.. [1] J. Lin, E. Keogh, L. Wei, et al. Experiencing SAX: a novel
symbolic representation of time series.
Data Mining and Knowledge Discovery, 2007. vol. 15(107)
"""
self._is_fitted()
return cydist_sax(sax1, sax2, self.breakpoints_avg_,
self._X_fit_dims_[1])