I am still in learning phase of sklearn and need some help in understanding how to come with a relation between output and input. Using data I was able to train sklearn MLPClassifier.
clf = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes = (7,), random_state = 1)
#Print Coef
print clf.coefs_.shape
print clf.coefs_
The output looks like this: Output print
Any help will be useful. Thanks!!
First of all, clf.coefs_ is a list with length n_layers - 1.
In your case, the length is 7-1 = 6.
The ith element in the list represents the weight matrix corresponding to layer i.
So if you type: clf.coefs_[0] this will return the weight matrix of the first layer.
More details here.
EDIT
The clf.coefs_ contains the weights that you need. Make sure that you understand how MLP works (see HERE ! )
A MLP looks like this:
