import "github.com/sjwhitworth/golearn"
Package golearn is a machine learning library for Go.
Path | Synopsis |
---|---|
base | Package base provides base interfaces for GoLearn objects to implement. |
clustering | This package implements clustering algorithms |
ensemble | |
evaluation | |
filters | |
kdtree | |
knn | Package knn implements a K Nearest Neighbors object, capable of both classification and regression. |
linear_models | Package linear_models implements linear and logistic regression models. |
meta | |
metrics/pairwise | Package pairwise implements utilities to evaluate pairwise distances or inner product (via kernel). |
naive | |
neural | Package neural contains Neural Network functions. |
optimisation | Package optimisation provides a number of optimisation functions. |
pca | Implementation of Principal Component Analysis(PCA) with SVD |
perceptron | |
trees | |
utilities | Package utilities implements a host of helpful miscellaneous functions to the library. |
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