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trait QoF extends AnyRef

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  1. abstract def diagnose(e: VectoD, yy: VectoD, yp: VectoD, w: VectoD = null, ym: Double = noDouble): Unit

    Diagnose the health of the model by computing the Quality of Fit (QoF) measures, from the error/residual vector and the predicted & actual responses.

    Diagnose the health of the model by computing the Quality of Fit (QoF) measures, from the error/residual vector and the predicted & actual responses. For some models the instances may be weighted.

    e

    the m-dimensional error/residual vector (yy - yp)

    yy

    the actual response vector to use (test/full)

    yp

    the predicted response vector (test/full)

    w

    the weights on the instances (defaults to null)

    ym

    the mean of the actual response vector to use (train/full)

    See also

    Regression_WLS

  2. abstract def fit: VectoD

    Return the Quality of Fit (QoF) measures corresponding to the labels given above in the 'fitLabel' method.

    Return the Quality of Fit (QoF) measures corresponding to the labels given above in the 'fitLabel' method. Note, if 'sse > sst', the model introduces errors and the 'rSq' may be negative, otherwise, R^2 ('rSq') ranges from 0 (weak) to 1 (strong). Override to add more quality of fit measures.

  3. abstract def fitLabel: Seq[String]

    Return the labels for the Quality of Fit (QoF) measures.

    Return the labels for the Quality of Fit (QoF) measures. Override to add more Quality of Fit measures.

  4. abstract def help: String

    Return the help string that describes the Quality of Fit (QoF) measures provided by implementing classes.

    Return the help string that describes the Quality of Fit (QoF) measures provided by implementing classes. Override to correspond to 'fitLabel'.

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  8. def f_(z: Double): String

    Format a double value.

    Format a double value.

    z

    the double value to format

  9. def fitMap: Map[String, String]

    Build a map of quality of fit measures (use of LinkedHashMap makes it ordered).

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