Package shared.stat.plot

A package of plotting classes for reporting machine learning metrics.

See:
Description

Interface Summary

Plot<T extends Plot<T>>	Defines a plotting abstraction.
PlotContext<T extends PlotContext<T,P>,P extends Plot<P>>	Defines a context for creating Plots.
Plottable	Defines something as suitable for having its values plotted.

Class Summary

DataStyle	A container class for dataset rendering style information.
ErrorDistribution	A base class for PrecisionRecall and ROC.
GnuplotContext	A Gnuplot-backed implementation of PlotContext.
GnuplotContext.Gnuplot	An internal implementation of Plot.
Histogram	A representation of histograms.
PlotBase	A collection of useful static methods for plotting.
PrecisionRecall	A representation of precision-recall plots.
ProbabilityDistribution	A representation of probability distributions.
ROC	A representation of ROC (receiver operating characteristic) plots.
Scatter	A representation of scatter plots.

Enum Summary

DataStyle.DataStyleType	An enumeration of DataStyle types.
Plot.AxisScaleType	An enumeration of axis scale types.
Plot.AxisType	An enumeration of axis types.
ProbabilityDistribution.Mode	An enumeration of probability distribution modes.

Package shared.stat.plot Description

A package of plotting classes for reporting machine learning metrics.