Suppose you have a trained stochastic gradient regressor model by enabling warm start parameter. What happens if you call the fit method again with the same model instance and different training data? from sklearn.linear_model import SGDRegressor model = SGDRegressor(warm_start=True) X_train = [[0, 0], [1, 1]] y_train = [0, 1] model.fit(X_train, y_train) # Call fit() again with different training data X_train_new = [[2, 2], [3, 3]] y_train_new = [2, 3] model.fit(X_train_new, y_train_new)

(B) The new training data is used to update the model weights, but the previous weights are discarded.

(A) The new training data is ignored, and the model continues training from the previously learned weights.

(C) An error is raised, indicating that the model has already been trained.

(D) The model weights are reset, and the model begins training again from scratch.

Machine Learning Practice · Quiz 1 · 16 Jul 2023 · May 2023 term

Question 12: Suppose you have a trained stochastic gradient regressor…

Question 12

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Suppose you have a trained stochastic gradient regressor model by enabling warm start parameter. What happens if you call the fit method again with the same model instance and different training data?

python

1from sklearn.linear_model import SGDRegressor
2
3model = SGDRegressor(warm_start=True)
4
5X_train = [[0, 0], [1, 1]]
6y_train = [0, 1]
7model.fit(X_train, y_train)
8
9# Call fit() again with different training data
10X_train_new = [[2, 2], [3, 3]]
11y_train_new = [2, 3]
12model.fit(X_train_new, y_train_new)

A
The new training data is ignored, and the model continues training from the previously learned weights.
B
The new training data is used to update the model weights, but the previous weights are discarded.
C
An error is raised, indicating that the model has already been trained.
D
The model weights are reset, and the model begins training again from scratch.

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Correct answer

B
The new training data is used to update the model weights, but the previous weights are discarded.

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Question 12 of 24 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 16 Jul 2023, in the May 2023 term (IIT M DIPLOMA AN2 EXAM QPD2 16 JULY 2023). It carries 2 marks.

Question 12: Suppose you have a trained stochastic gradient regressor…

Question 12

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