[boxplot]
definition = untable _x field_name value\
| stats min exactperc25 median exactperc75 max by field_name\
| untable field_name calculations value\
| xyseries calculations field_name value\
| eval calculations = rtrim(calculations, "(value)")

[regressionstatistics(2)]
args = a, p
definition = rename "$a$" as _actual, "$p$" as _predicted | eventstats avg(_actual) as _avgActual | eval _actualMinusAvg = _actual - _avgActual, _residual = _actual - _predicted | stats sumsq(_actualMinusAvg) as _sumsqActualMinusAvg, sumsq(_residual) as _sumsqResidual, count(_residual) as _sampleCount | eval _sumsqActualMinusAvg=round(_sumsqActualMinusAvg,6), _sumsqResidual = round(_sumsqResidual, 6) | eval rSquared = if(_sumsqActualMinusAvg == 0, "NaN", round(1 - _sumsqResidual / _sumsqActualMinusAvg, 4)), RMSE = round(sqrt(_sumsqResidual / _sampleCount), 2) | table rSquared RMSE

[confusionmatrix(2)]
args = a, p
definition = rename "$a$" as actual, "$p$" as predicted\
| stats count by actual predicted\
| appendpipe [ eval predicted=actual, count=0 ]\
| stats sum(count) as count by actual predicted\
| xyseries actual predicted count\
| rename * as "Predicted *"\
| rename "Predicted $a$" as "Actual $a$"\
| fillnull value=0
iseval = 0

[classificationreport(2)]
args = a, p
definition = rename "$a$" as actual, "$p$" as predicted\
| stats count by actual predicted\
| xyseries actual predicted count\
| fillnull\
| untable actual predicted count\
| stats sum(eval(if(actual == predicted, count, 0))) as t sum(eval(if(actual != predicted, count, 0))) as f by actual predicted\
| eventstats sum(eval(if(actual==predicted, t, 0))) as tp sum(eval(if(actual!=predicted, f, 0))) as fn by actual\
| eventstats sum(eval(if(actual!=predicted, f, 0))) as fp by predicted\
| eval count=if(actual==predicted,t,f), fp=if(actual==predicted, fp, 0), fn=if(actual==predicted, fn,0), tp=if(actual==predicted, tp, 0)\
| stats sum(count) as count sum(t) as t sum(f) as f sum(tp) as tp sum(fn) as fn sum(fp) as fp by actual\
| eventstats sum(count) as total\
| eval precision=tp/(tp+fp)\
| eval recall=tp/(tp+fn)\
| eval f1=2*precision*recall/(precision+recall)\
| eval accuracy=t/count\
| fillnull\
| appendpipe [ stats sum(count) as count sum(eval(accuracy*count/total)) as accuracy sum(eval(precision*count/total)) as precision sum(eval(recall*count/total)) as recall sum(eval(f1*count/total)) as f1 | eval actual="Weighted Average" ]\
| rename actual as class\
| table class accuracy precision recall f1 count
iseval = 0

[classificationstatistics(2)]
args = a, p
definition = `classificationreport("$a$", "$p$")`\
| tail 1\
| eval precision=round(precision, 2), recall=round(recall, 2), accuracy=round(accuracy, 2), f1=round(f1, 2)
iseval = 0

[modvizpredict(6)]
args= v, a, f, h, p, ci
definition = predict "$v$" as prediction algorithm=$a$ future_timespan=$f$ holdback=$h$ $p$ lower$ci$=lower$ci$ upper$ci$=upper$ci$ | eval _ft=$f$, _hb=$h$, _vars="$v$", _ci=$ci$

[forecastviz(4)]
args = ft, hb, v, ci
definition = eval _ft=$ft$, _hb=$hb$, _vars="$v$", _ci=$ci$

[smartforecastviz(1)]
args = v1
definition = eval _vars="$v1$"

[smartforecastviz(2)]
args = v1, v2
definition = eval _vars=mvappend("$v1$", "$v2$")

[smartforecastviz(3)]
args = v1, v2, v3
definition = eval _vars=mvappend("$v1$", "$v2$", "$v3$")

[smartforecastviz(4)]
args = v1, v2, v3, v4
definition = eval _vars=mvappend("$v1$", "$v2$", "$v3$", "$v4$")

[smartforecastviz(5)]
args = v1, v2, v3, v4, v5
definition = eval _vars=mvappend("$v1$", "$v2$", "$v3$", "$v4$", "$v5$")

[histogram(2)]
args = var, bins
definition = bin "$var$" bins=$bins$ | stats count by "$var$" | makecontinuous "$var$" | fillnull count

[splitby(1)]
args = s
definition = eval _split_by="$s$"

[splitby(2)]
args = s1, s2
definition = eval _split_by=mvappend("$s1$", "$s2$")

[splitby(3)]
args = s1, s2, s3
definition = eval _split_by=mvappend("$s1$", "$s2$", "$s3$")

[splitby(4)]
args = s1, s2, s3, s4
definition = eval _split_by=mvappend("$s1$", "$s2$", "$s3$", "$s4$")

[splitby(5)]
args = s1, s2, s3, s4, s5
definition = eval _split_by=mvappend("$s1$", "$s2$", "$s3$", "$s4$", "$s5$")