Example usage for org.apache.commons.math.linear MatrixUtils createColumnRealMatrix

Introduction

In this page you can find the example usage for org.apache.commons.math.linear MatrixUtils createColumnRealMatrix.

Prototype

public static RealMatrix createColumnRealMatrix(double[] columnData) 

Source Link

Document

Creates a column RealMatrix using the data from the input array.

Usage

From source file:dfs.OLSTrendLine.java

@Override
public void setValues(double[] y, double[] x) {
    if (x.length != y.length) {
        throw new IllegalArgumentException(
                String.format("The numbers of y and x values must be equal (%d != %d)", y.length, x.length));
    }/*from w w w. jav  a 2  s . com*/
    double[][] xData = new double[x.length][];
    for (int i = 0; i < x.length; i++) {
        // the implementation determines how to produce a vector of predictors from a single x
        xData[i] = xVector(x[i]);
    }
    if (logY()) { // in some models we are predicting ln y, so we replace each y with ln y
        y = Arrays.copyOf(y, y.length); // user might not be finished with the array we were given
        for (int i = 0; i < x.length; i++) {
            y[i] = Math.log(y[i]);
        }
    }
    OLSMultipleLinearRegression ols = new OLSMultipleLinearRegression();
    ols.setNoIntercept(true); // let the implementation include a constant in xVector if desired
    ols.newSampleData(y, xData); // provide the data to the model
    coef = MatrixUtils.createColumnRealMatrix(ols.estimateRegressionParameters()); // get our coefs
}

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From source file:org.apache.flink.statistics.regression.OLSTrendLine.java

@Override
public void setValues(double[] y, double[] x) {
    if (x.length != y.length) {
        throw new IllegalArgumentException(
                String.format("The numbers of y and x values must be equal (%d != %d)", y.length, x.length));
    }//from   www .  ja va2  s  .  c om
    double[][] xData = new double[x.length][];
    for (int i = 0; i < x.length; i++) {
        // the implementation determines how to produce a vector of
        // predictors from a single x
        xData[i] = xVector(x[i]);
    }
    if (logY()) { // in some models we are predicting ln y, so we replace
                  // each y with ln y
        y = Arrays.copyOf(y, y.length); // user might not be finished with
        // the array we were given
        for (int i = 0; i < x.length; i++) {
            y[i] = Math.log(y[i]);
        }
    }
    OLSMultipleLinearRegression ols = new OLSMultipleLinearRegression();

    ols.newSampleData(y, xData); // provide the data to the model
    coef = MatrixUtils.createColumnRealMatrix(ols.estimateRegressionParameters()); // get our coefs
}

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