Function autoModel

autoModel(
    X: ArrayLike<ArrayLike<number>>,
    y: ArrayLike<string | number>,
    options?: {
        folds?: number;
        models?: ModelKind[];
        nTrees?: number;
        seed?: number;
        task?: "regression" | "classification";
    },
): AutoModelResult
Automated model selection (Minitab AutoML): cross-validates every applicable learner and refits the best one on the full data. Regression candidates: ols, cart, random-forest, treenet, mars; classification: logistic (binary), cart, random-forest, treenet.
Parameters
- X: ArrayLike<ArrayLike<number>>
- y: ArrayLike<string | number>
- Optionaloptions: {
      folds?: number;
      models?: ModelKind[];
      nTrees?: number;
      seed?: number;
      task?: "regression" | "classification";
  }
Returns AutoModelResult
- Defined in advanced/dist/index.d.ts:4184