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1 vote
1 answer
618 views

What is the interpretation of sklearn's linear perceptron coefficients?

I'm stumped as to why this example doesn't do a better job fitting the data, I suspect it has to do with my interpretation of the perceptron object's coefficients. Note that I'm interested in the <...
eretmochelys's user avatar
1 vote
1 answer
260 views

Stop criterion is Infinitive in Perceptron in Sklearn

I read code in book "Hand-on Machine Learning in Sklearn and TensorFlow" by Aurelien Geron ...
Tan Phan's user avatar
  • 113
2 votes
0 answers
166 views

sklearn Perceptron incorrectly training on tiny 3 point linearly separable 2D dataset?

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Katalin Benedito's user avatar
5 votes
2 answers
2k views

SciKit Learn: Multilayer perceptron early stopping, restore best weights

In the SciKit documentation of the MLP classifier, there is the early_stopping flag which allows to stop the learning if there is not any improvement in several ...
volperossa's user avatar
2 votes
2 answers
4k views

How to Score an MLP Classifier

I am trying to understand MLP Classifiers, but would like to know what the best way to create a score is. e.g. preferably a normalized score between 0 and 1. For instance, I looked at Scikit-learn's ...
InqXTOR's user avatar
  • 21