Hi,
The weights and intercepts are available in the coefs_ and intercepts_
attribute respectively.
See
https://github.com/scikit-learn/scikit-learn/blob/a24c8b46/sklearn/neural_network/multilayer_perceptron.py#L835
On Wed, Dec 6, 2017 at 4:56 PM, Brown J.B. via scikit-learn <
scikit-learn@python
I am also very interested in knowing if there is a sklearn cookbook
solution for getting the weights of a one-hidde-layer MLPClassifier.
J.B.
2017-12-07 8:49 GMT+09:00 Thomas Evangelidis :
> Greetings,
>
> I want to train a MLPClassifier with one hidden layer and use it as a
> feature selector fo
Greetings,
I want to train a MLPClassifier with one hidden layer and use it as a
feature selector for an MLPRegressor.
Is it possible to get the values of the neurons from the last hidden layer
of the MLPClassifier to pass them as input to the MLPRegressor?
If it is not possible with scikit-learn
We're biased, but we reckon the skills to make a PR are (a) not
insurmountable with a bit of homework; and (b) very worthwhile to have. So
try pick it up by yourself, but give us a shout if you're struggling.
___
scikit-learn mailing list
scikit-learn@pyt
Alright, i'll make a pull request. But let me tell you guys, I'm totally
new to github. This is my first contribution. And until few days back, i
didn't even knew what a pull request was.
Anyways, what i mean is even though i make a request, it'll take time for
me to understand this whole changing
Dear all,
I added the Tobit loss function to gradient boosting, see
https://github.com/scikit-learn/scikit-learn/pull/9961. Recently, I also
added a reference to a preprint of an article with documentation on the
methodology (https://arxiv.org/abs/1711.08695).
What are to next steps in order to d
