Computing MAE with scikit-learn

Question

I am stuck on this problem:

import numpy as np
from sklearn.neighbors import KNeighborsRegressor

def mae(prediction, target):

   return np.sum(np.abs(prediction - target)) 

knn_model = KNeighborsRegressor(n_neighbors=k)

prediction = knn_model.fit(X_train,y_train)
val_mae = mae(prediction, y_val)

Asked By: GreatGatsby

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Source

Answer 1

.fit returns the actual model object, you need to call .predict to get predictions

knn_model.fit(X_train,y_train)
prediction = knn_model.predict(X_val)
val_mae = mae(prediction, y_val)

Answered By: lejlot

Computing MAE with scikit-learn

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