stochannpy 0.0.1b1

StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic learning.

Summary

Version:

0.0.1b1

Author:

Keurfon Luu

Web site:

https://github.com/keurfonluu/stochannpy

Copyright:

This document has been placed in the public domain.

License:

StochOPy is released under the MIT License.

NOTE: StochANNPy has been implemented in the frame of my Ph. D. thesis. If you find any error or bug, or if you have any suggestion, please don’t hesitate to contact me.

Features

StochANNPy provides routines for stochastic neural networks:

• Bayesian neural networks [1]

• Evolutionary neural networks

NOTE: for now, only classifier has been implemented. Regressor will come later.

Installation

The recommended way to install StochANNPy is through pip:

pip install stochannpy

Otherwise, download and extract the package, then run:

python setup.py install

Usage

First, import StochANNPy and initialize the classifier:

import numpy as np
from stochannpy import BNNClassifier

clf = BNNClassifier(hidden_layer_sizes = (5,))

Fit the training set:

clf.fit(X_train, y_train)

Predict the test set:

ypred = clf.predict(X_test)

Compute the accuracy:

print(np.mean(ypred == y_test))

References

[1]

N. Radford, Bayesian Learning for Neural Networks, Lecture Notes in Statistics, Springer, 1996