Package Exports
- ml-pls
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Readme
Partial Least Squares (PLS)
PLS regression algorithm based on the Yi Cao Matlab implementation:
Partial Least-Squares and Discriminant Analysis
installation
$ npm install ml-pls
Methods
new PLS(X, Y)
pls.train(options)
Example
var X = [[0.1, 0.02], [0.25, 1.01] ,[0.95, 0.01], [1.01, 0.96]];
var Y = [[1, 0], [1, 0], [1, 0], [0, 1]];
var options = {
latentVectors: 10,
tolerance: 1e-4
};
var pls = new PLS(X, Y);
pls.train(options);predict(dataset)
Predict the values of the dataset.
Arguments
dataset- A matrix that contains the dataset.
Example
var dataset = [[0, 0], [0, 1], [1, 0], [1, 1]];
var ans = pls.predict(dataset);getExplainedVariance()
Returns the explained variance on training