Why 2-D matrix is being used as covariant in logistic regression?

#1

mean_1 = np.array([1,0.5])
cov_1 = np.array([[1,0.1],[0.1,1.2]])

mean_2 = np.array([4,5])
cov_2 = np.array([[1.2,0.1],[0.1,1.3]])

np.random.multivariate_normal(mean_1,cov_1)
np.random.multivariate_normal(mean_2,cov_2)

Why can’t a vector be used here as used in mean ?

#2

hey @annudhiman ,
where did you wanted to use mean, can you please be more brief.

#3

Actually, I am implementing code for logistic regression, and trying to create dataset for implementation.
There they are using covariance matrix, and i am unable to understand why to use a matrix instead of vector.

#4

covariance matrix in logistic regression ???
can you please provide me your code.

#5

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