tools/utilities/pythonlibs/audio/compute_ell_model.py
def transform(self, x):
        """ call the ell model with input array 'x' and return the output as numpy array """
        # Turn the input into something the model can read
        in_vec = np.array(x).astype(np.float32).ravel()

        # Send the input to the predict function and return the prediction result
        return np.array(self.map.Compute(in_vec, dtype=np.float32))
 call the ell model with input array 'x' and return the output as numpy array 
call the ell model with input array 'x' and return the output as numpy array
call the ell model with input array ' x ' and return the output as numpy array
def transform(self, x):
        in_vec = np.array(x).astype(np.float32).ravel()
        return np.array(self.map.Compute(in_vec, dtype=np.float32))
def transform ( self , x ) : in_vec = np . array ( x ) . astype ( np . float32 ) . ravel ( ) return np . array ( self . map . Compute ( in_vec , dtype = np . float32 ) )
call the ell model with input array 'x' and return the output as numpy array
call the ell model with input array ' x ' and return the output as numpy array
""" call the ell model with input array 'x' and return the output as numpy array """ # Turn the input into something the model can read # Send the input to the predict function and return the prediction result
self
x