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To substitute a subarray with a singular integer in numpy for y_train, you can use indexing to select the subarray and replace it with the integer. Here's an example code:
import numpy as np
# create a sample y_train array
y_train = np.array([1, 2, 3, 4, 5])
# substitute the 2nd to 4th elements with the integer 0
y_train[1:4] = 0
print(y_train)
# Output: [1 0 0 0 5]
In this example, the subarray consisting of the 2nd to 4th elements (i.e. [2, 3, 4]) is replaced with the integer 0. You can adjust the range of the subarray and the value of the replacement integer according to your needs.