Hi
I am trying to trying to find the regression matrix \beta. In the following:
Y = X \beta + \epsilon
Y - m x n matrix. (sparse matrix)
X - m x k matrix. (sparse matrix)
\beta - k x n matrix
I try to fit the SGDRegressor as fit(X,Y). It gives a value error:
ValueError: Buffer has wrong number of dimensions (expected 1, got 2)
I see in the documentation Y can only be a vector of type [n_samples].
Is there a way in which I can use SGDRegressor with Y being a matrix.
Thanks.
Shishir
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