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Machine Learning Practice · End Term · 22 Dec 2024 · September 2024 term · Set QDD1

Question 20: Consider the following code snippet: What does the learn…

Question 20

+2 marksOne correct option

Consider the following code snippet:

python
import numpy as np
from sklearn.linear_model import SGDRegressor
X = np.array([[1, 2], [3, 4], [5, 6], [7, 8], [9, 10]])
y = np.array([3, 6, 9, 12, 15])


model = SGDRegressor(learning_rate='constant', eta0=0.1, max_iter=1000)
model.fit(X, y)

What does the learning_rate='constant' parameter in the SGDRegressor() function control?

  1. A

    It adjusts the learning rate based on the number of iterations.

  2. B

    It specifies the learning rate to decrease as the model converges.

  3. C

    It specifies the fraction of the dataset used for each step in the stochastic gradient descent.

  4. D

    It defines the initial value for the learning rate and keeps it constant throughout training.

Show answer

Correct answer

  • D

    It defines the initial value for the learning rate and keeps it constant throughout training.

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Question 20 of 37 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 22 Dec 2024, in the September 2024 term (IIT M IMPROVEMENT FN EXAM QDD1 22 Dec 2024). It carries 2 marks.

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