TODO.md

List of things to implement:

Models

Regressors:

• MultilayerPerceptronRegression
• LocallyWeightedLinearRegression
• LassoRegression
• KNearestNeighboursRegression

Classifiers:

• Move current implementations to new API and input scheme: MultilayerPerceptronClassifier
• LogisticRegression
• KNearestNeighboursClassifier
• GaussianDiscriminantAnalysis
• FisherLinearDiscriminant

Clusterers:

• KMeans
• GaussianMixture (with EM)

Transformation:

• MeanSubstraction
• Normalizer

Add common Datasets for doing tests and examples

Make examples and tests