splearn/preprocessing/label.py
def fit(self, y):
        """Fit label encoder
        Parameters
        ----------
        y : ArrayRDD (n_samples,)
            Target values.
        Returns
        -------
        self : returns an instance of self.
        """

        def mapper(y):
            y = column_or_1d(y, warn=True)
            _check_numpy_unicode_bug(y)
            return np.unique(y)

        def reducer(a, b):
            return np.unique(np.concatenate((a, b)))

        self.classes_ = y.map(mapper).reduce(reducer)

        return self
def fit(self, y):
        """Fit label encoder
        Parameters
        ----------
        y : ArrayRDD (n_samples,)
            Target values.
        Returns
        -------
        self : returns an instance of self.
        """

        def mapper(y):
            y = column_or_1d(y, warn=True)
            _check_numpy_unicode_bug(y)
            return np.unique(y)

        def reducer(a, b):
            return np.unique(np.concatenate((a, b)))

        self.classes_ = y.map(mapper).reduce(reducer)

        return self
def fit ( self , y ) : def mapper ( y ) : y = column_or_1d ( y , warn = True ) _check_numpy_unicode_bug ( y ) return np . unique ( y ) def reducer ( a , b ) : return np . unique ( np . concatenate ( ( a , b ) ) ) self . classes_ = y . map ( mapper ) . reduce ( reducer ) return self
Fit label encoder
        Parameters
        ----------
        y : ArrayRDD (n_samples,)
            Target values.
        Returns
        -------
        self : returns an instance of self.
Fit label encoder Parameters ---------- y : ArrayRDD ( n_samples ) Target values . Returns ------- self : returns an instance of self .