Feature Request
Add confusion matrix evaluation helpers for classification problems
It would be useful for users working with classification problems to have convenient helpers in the package for evaluating the results with confusion matrices.
I propose two template functions as a starting point:
function matrix ConfusionMatrix (const series y, const series f)
/* Confusion matrix */
list L = y f
xtab L --column
matrix ret = $result[-end,-end]
rnameset(ret, "y=1 y=2 y=3 y=4 y=5")
cnameset(ret, "f=1 f=2 f=3 f=4 f=5")
return ret
end function
function void PlotConfusionHeatmap (const matrix cm,
const string title[null],
const string filename[null])
/* Plot a user-supplied confusion matrix with fixed heatmap settings.*/
bundle PlotParams = _(xlabel = "Predicted class",
ylabel = "Actual class",
zerowhite = TRUE,
printvals = TRUE,
do_labels = TRUE)
if exists(title)
PlotParams.title = title
endif
if exists(filename)
PlotParams.dest = filename
endif
heatmap(cm, PlotParams)
end function
These functions may serve as templates or convenience tools:
ConfusionMatrix creates a confusion matrix from observed and predicted series.
PlotConfusionHeatmap plots a confusion matrix with fixed heatmap settings.
Having helpers or templates like these would benefit users working on classification evaluation workflows.
Feature Request
Add confusion matrix evaluation helpers for classification problems
It would be useful for users working with classification problems to have convenient helpers in the package for evaluating the results with confusion matrices.
I propose two template functions as a starting point:
These functions may serve as templates or convenience tools:
ConfusionMatrixcreates a confusion matrix from observed and predicted series.PlotConfusionHeatmapplots a confusion matrix with fixed heatmap settings.Having helpers or templates like these would benefit users working on classification evaluation workflows.