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reshaping numpy array ValueError: total size of new array must be unchanged - metalray - Jul-15-2017
Dear Python experts,
I am trying to reshape my numpy array "des" to shape 4,100 but every
time I get the "ValueError: total size of new array must be unchanged"
error.
Why is that?
def big():
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import PolynomialFeatures
pred_data = np.linspace(0,10,100)
degree = [1,3,6,9]
for i in range(len(degree)):
pred_data = np.linspace(0,10,100)
pred_data = np.array(pred_data).reshape(-1,1)
poly = PolynomialFeatures(degree=degree[i])
#since the assignment says to use the X_train data)
X_F1_poly = poly.fit_transform(X_train[:,np.newaxis])
pred_data = poly.fit_transform(pred_data)
linreg = LinearRegression().fit(X_F1_poly, y_train)
pred = linreg.predict(pred_data)
des = np.array(pred,np.float32).reshape(4, 100)
#print(X_F1_poly.shape)
return pred
big()Would be super thankful for any help.