CIMtools/base.py
def fit(self, x, y=None):
        """Do nothing and return the estimator unchanged

        This method is just there to implement the usual API and hence work in pipelines.
        """
        if self._dtype is not None:
            iter2array(x, dtype=self._dtype)
        else:
            iter2array(x)
        return self
def fit(self, x, y=None):
        """Do nothing and return the estimator unchanged

        This method is just there to implement the usual API and hence work in pipelines.
        """
        if self._dtype is not None:
            iter2array(x, dtype=self._dtype)
        else:
            iter2array(x)
        return self
def fit ( self , x , y = None ) : if self . _dtype is not None : iter2array ( x , dtype = self . _dtype ) else : iter2array ( x ) return self
Do nothing and return the estimator unchanged

        This method is just there to implement the usual API and hence work in pipelines.
Do nothing and return the estimator unchanged