prajwaldp / lstm-pollution-prediction Goto Github PK

yhat = model.predict(test_X)
test_X1 = test_X.reshape((test_X.shape[0], test_X.shape[2]))
inv_yhat = np.concatenate((yhat, test_X1[:, 1:]),axis=1)
inv_yhat1 = scaler.inverse_transform(inv_yhat)

When computing Yhat1 error comes as...
ValueError Traceback (most recent call last)
in ()
----> 1 inv_yhat1 = scaler.inverse_transform(inv_yhat)
2 print(inv_yhat1)

~\Anaconda3\lib\site-packages\sklearn\preprocessing\data.py in inverse_transform(self, X)
383 X = check_array(X, copy=self.copy, dtype=FLOAT_DTYPES)
384
--> 385 X -= self.min_
386 X /= self.scale_
387 return X
operands could not be broadcast together with shapes (89,12) (13,) (89,12)
My Train and test shape are as follows.
train_X.shape, train_y.shape, test_X.shape, test_y.shape
((120, 1, 12), (120,), (89, 1, 12), (89,))