ml-regression-base
Advanced tools
Base class for regression modules.
This package is for ml.js internal use.
You only have to implement the _predict method. It is always called with a number.
The model should be created in the constructor.
Optional methods that can be implemented: toString, toLaTeX.
import BaseRegression from 'ml-regression-base';
class MyRegression extends BaseRegression {
constructor(factor) {
super();
this.factor = factor;
}
_predict(x) {
return x * this.factor;
}
toString() {
return `f(x) = x * ${this.factor}`;
}
}
maybeToPrecision(value, digits)Convenience method to transform numbers to readable strings.
If digits is not specified, "value.toString()" is used. Otherwise "value.toPrecision(digits)" is used.
This method can be used to implement toString() or toLaTeX().
checkArrayLength(x, y)Convenience method to check if the input and output arrays passed to a regression constructor are effectively arrays with the same length.
FAQs
Base class for regression modules
The npm package ml-regression-base receives a total of 61,140 weekly downloads. As such, ml-regression-base popularity was classified as popular.
We found that ml-regression-base demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 7 open source maintainers collaborating on the project.
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