Commit Graph

9 Commits

Author SHA1 Message Date
Attila Bakos
7d5c6b15a4 Updates to the documentation (linguistic corrections) (#414)
* Fix typo in Features list

* Update distance.md documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation

* Fix grammatical mistakes in documentation
2019-11-02 11:41:34 +01:00
Jonathan Baldie
c32bf3fe2b Configure an Activation Function per hidden layer (#208)
* ability to specify per-layer activation function

* some tests for new addition to layer

* appease style CI whitespace issue

* more flexible addition of layers, and developer can pass Layer object in manually

* new test for layer object in mlp constructor

* documentation for added MLP functionality
2018-02-01 23:15:36 +01:00
David Monllaó
e83f7b95d5 Fix activation functions support (#163)
- Backpropagation using the neuron activation functions derivative
- instead of hardcoded sigmoid derivative
- Added missing activation functions derivatives
- Sigmoid forced for the output layer
- Updated ThresholdedReLU default threshold to 0 (acts as a ReLU)
- Unit tests for derivatives
- Unit tests for classifiers using different activation functions
- Added missing docs
2018-01-09 11:09:59 +01:00
David Monllaó
c4ad117d28 Ability to update learningRate in MLP (#160)
* Allow people to update the learning rate

* Test for learning rate setter
2017-12-05 21:09:06 +01:00
David Monllaó
b1d40bfa30 Change from theta to learning rate var name in NN (#159) 2017-11-20 23:39:50 +01:00
David Monllaó
de50490154 Neural networks partial training and persistency (#91)
* Neural networks partial training and persistency

* cs fixes

* Add partialTrain to nn docs

* Test for invalid partial training classes provided
2017-05-23 09:03:05 +02:00
David Monllaó
4af8449b1c Neural networks improvements (#89)
* MultilayerPerceptron interface changes

- Signature closer to other algorithms
- New predict method
- Remove desired error
- Move maxIterations to constructor

* MLP tests for multiple hidden layers and multi-class

* Update all MLP-related tests

* coding style fixes

* Backpropagation included in multilayer-perceptron
2017-05-18 00:07:14 +02:00
David Monllaó
c1b1a5d6ac Support for multiple training datasets (#38)
* Multiple training data sets allowed

* Tests with multiple training data sets

* Updating docs according to #38

Documenting all models which predictions will be based on all
training data provided.

Some models already supported multiple training data sets.
2017-02-01 19:06:38 +01:00
Arkadiusz Kondas
3599367ce8 Add docs for neural network 2016-08-14 19:14:56 +02:00