2e81928a3583faa9a5fbbe48d5a114f20027d78c,tslearn/piecewise.py,OneD_SymbolicAggregateApproximation,distance_1d_sax,#OneD_SymbolicAggregateApproximation#Any#Any#,686

Before Change

        .. [1] S. Malinowski, T. Guyet, R. Quiniou, R. Tavenard. 1d-SAX: a
           Novel Symbolic Representation for Time Series. IDA 2013.
        
        if not self._is_fitted():
            raise NotFittedError("Model not fitted yet: cannot be used for " +
                                 "distance computation.")
        else:
            return cydist_1d_sax(sax1, sax2, self.breakpoints_avg_middle_,
                                 self.breakpoints_slope_middle_,
                                 self.size_fitted_)

    def distance(self, ts1, ts2):
        Compute distance between 1d-SAX representations as defined in [1]_.

        Parameters

After Change

        .. [1] S. Malinowski, T. Guyet, R. Quiniou, R. Tavenard. 1d-SAX: a
           Novel Symbolic Representation for Time Series. IDA 2013.
        
        check_is_fitted(self, ["X_fit_dims_", "breakpoints_avg_middle_",
                               "breakpoints_slope_middle_"])
        return cydist_1d_sax(sax1, sax2, self.breakpoints_avg_middle_,
                             self.breakpoints_slope_middle_,
                             self.X_fit_dims_[1])

Instances