package
0.0.0-20200711083454-beb861ee48b1
Repository: https://github.com/pa-m/sklearn.git
Documentation: pkg.go.dev

# Packages

Package data is a dummy package for folder of data files used in tests.

# Functions

LoadBoston load the boston housing dataset.
LoadBreastCancer load the breat cancer dataset.
LoadDiabetes load the diabetes dataset.
LoadExamScore loads data from ex2data1 from Andrew Ng machine learning course.
LoadInternationalAirlinesPassengers ...
LoadIris load the iris dataset.
LoadMicroChipTest loads data from ex2data2 from Andrew Ng machine learning course.
LoadMnist loads mnist data 5000x400,5000x1.
LoadMnistWeights loads mnist weights.
LoadOctaveBin reads an (possibly gzipped) octave binary file into a map of *map.Dense.
LoadWine load the boston housing dataset.
MakeBlobs Generate isotropic Gaussian blobs for clustering config may be null or preintialised config.Centers may be and int or a mat.Matrix unlinke scikit-learn's make_blob, Shuffle is false by default.
MakeRegression Generate a random regression problem n_samples : int, optional (default=100) The number of samples.

# Structs

MakeBlobsConfig is the struct of MakeBlobs params.
MLDataset structure returned by LoadIris,LoadBreastCancer,LoadDiabetes,LoadBoston.