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I noticed that biases are not applied in a conventional manner in a Multilayer Perceptron model. It is not clear how the feedforward step applies bies between the layer and their neurons.
Please, cou…
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You are using the name `max.iter` for Spark's `setMaxIterations` in `ml_kmeans` https://github.com/rstudio/sparklyr/blob/master/R/ml_kmeans.R#L19, what is confusing for regular R user who's used to wo…
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**Descripton**
The multilabel classification test fails, and should pass.
**Steps to Reproduce**
nosetests -v sklearn/neural_network/tests/test_mlp.py
where the failing code in question is:
`X,…
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Hi
I try to train a multilayer perceptron network with 1 one hidden layer. The number of neurons is 256 in the input layer, 25 in the hidden and 2 in the output.
The perform_training function crashes…
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It would be nice if scikit-learn showed which lines are covered by unit tests in our PRs. For example, Coveralls will show your test coverage line by line.
![image](https://cloud.githubusercontent.co…
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How can implement Multi-Task deep learning with Tensorflow? how can i found any sample? ![Multi-Task deep learning](https://camo.githubusercontent.com/9b5b091d632c5b923b706016ca15ee56e70c9958/6874747…
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Use the provided training set to train an MLP with one hidden layer. Apply the trained MLP
to classify the test set. Perform cross-validation with the following parameters:
- Optimize number of neuron…
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Its not clear in the documentation on how to obtain the predictions from blocks. My scenario is that I want to train a multilayer perceptron, but after training I don't want just the error rate for th…
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Are there any plans to support PMML export of the sklearn multilayer perceptron classifier implementation?
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/neural_network/multilayer_p…
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