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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 * 2';
}
}
maybeToPrecision(value, digits)
This package also exports a 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()
.
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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