trait QoF extends AnyRef
The QoF trait defines methods to determine basic Quality of Fit 'QoF' measures.
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- 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
- 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.
- 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.
- 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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- def f_(z: Double): String
Format a double value.
Format a double value.
- z
the double value to format
- def fitMap: Map[String, String]
Build a map of quality of fit measures (use of
LinkedHashMapmakes it ordered). - final def getClass(): Class[_ <: AnyRef]
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