Error using ransac.predict(line_X.reshape(1,-1))

Question

I wrote this code - using housing data from kaggle:

X = df['RM'].values.reshape(-1,1)
y = df['MEDV'].values
from sklearn.linear_model import RANSACRegressor
ransac = RANSACRegressor() 
ransac.fit(X,y)
inlier_mask = ransac.inlier_mask_
outlier_mask = np.logical_not(inlier_mask)
np.arange(3,10,1)
line_X = np.arange(3,10,1)
line_y_ransac = ransac.predict(line_X.reshape(1,-1))

I got this error on line_y:

ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 1 is different from 7)

Answer 1

I found the problem. I should've passed -1, 1 instead of 1, -1 to line_X.reshape:

line_X.reshape(-1,1))