scalation.analytics

Predictor

Related Doc: package analytics

trait Predictor extends AnyRef

The Predictor trait provides a common framework for several predictors.

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ANCOVA, ANCOVA, ANOVA, ARMA, ExpRegression, NeuralNet, NonLinRegression, Perceptron, PolyRegression, PolyRegression, Regression, Regression, Regression_WLS, ResponseSurface, ResponseSurface, RidgeRegression, RidgeRegression, SimpleRegression, TranRegression, TranRegression, TrigRegression, TrigRegression
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Abstract Value Members

  1. abstract def predict(z: Matrix): VectorD

    Given several new continuous data vectors stored as rows in a matrix, predict all the y-values of f(z_i).

    Given several new continuous data vectors stored as rows in a matrix, predict all the y-values of f(z_i).

    z

    the matrix containing row vectors to use for prediction

  2. abstract def predict(z: VectorD): Double

    Given a new continuous data vector z, predict the y-value of f(z).

    Given a new continuous data vector z, predict the y-value of f(z).

    z

    the vector to use for prediction

  3. abstract def train(): Unit

    Given a set of data vectors (x's) and their corresponding (y's), fit a prediction function y = f(x).

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  15. def predict(z: VectorI): Double

    Given a new discrete data vector z, predict the y-value of f(z).

    Given a new discrete data vector z, predict the y-value of f(z).

    z

    the vector to use for prediction

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