In preperation for the release of v1.0.0, several methods involved with the creation of Neural Networks must be implemented and tested.
Multi-Layer Perceptron neural network
Bayes network
Kohonen network (self organizing map)
Valid unit tests and samples for these networks using existing datasets + additional sets.
Valid benchmarks against Scikit-learn & Tensorflow
This issue will tie into #29 #49 related to the DataTable class. Similar to pandas dataframe being capable of specifying columns and performing cleanup
In preperation for the release of v1.0.0, several methods involved with the creation of Neural Networks must be implemented and tested.
Multi-Layer Perceptron neural network
Bayes network
Kohonen network (self organizing map)
Valid unit tests and samples for these networks using existing datasets + additional sets.
Valid benchmarks against Scikit-learn & Tensorflow
This issue will tie into #29 #49 related to the DataTable class. Similar to pandas dataframe being capable of specifying columns and performing cleanup