Base class for regression modules
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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.
``js
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};`
}
}
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()`.
Convenience method to check if the input and output arrays passed to a regression
constructor are effectively arrays with the same length.
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