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object ClassifierInt

The ClassifierInt companion object provides methods to read in data matrices in a combined 'xy' format that can be later decomposed into 'x' the feature data matrix and 'y' the classification vector.

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  1. def apply(fname: String, m: Int, n: Int, skip: Int = 1, cc: Int = 1): MatrixI

    Read the data set (e.g., a CSV file) and return the 'xy' data matrix.

    Read the data set (e.g., a CSV file) and return the 'xy' data matrix. It will make sure the classification column 'cc' is last.

    fname

    the file-name (file should contain lines of data)

    m

    the number of data rows

    n

    the number of data columns/features (including the classification)

    skip

    the number of columns at the beginning the line to skip (e.g., id column)

    cc

    the classification column (the default (-1) => no position checking)