| Class | Description |
|---|---|
| AstCorrelation |
Calculate Pearson's Correlation Coefficient between columns of a frame
Formula:
Pearson's Correlation Coefficient = Cov(X,Y)/sigma(X) * sigma(Y)
|
| AstDistance |
Calculate Distance Metric between pairs of rows
|
| AstDistance.DistanceComputer | |
| AstHist | |
| AstHist.FourthMomTask | |
| AstHist.HistTask | |
| AstHist.ThirdMomTask | |
| AstImpute |
Impute columns of a data frame in place.
|
| AstKFold | |
| AstKurtosis | |
| AstMode |
Find the mode: the most popular element.
|
| AstModuloKFold | |
| AstQtile |
Quantiles:
(quantile %frame [numnber_list_probs] "string_interpolation_type")
|
| AstRunif | |
| AstSkewness | |
| AstStratifiedKFold | |
| AstStratifiedSplit | |
| AstStratifiedSplit.ClassAssignMRTask | |
| AstStratifiedSplit.ClassIdxTask | |
| AstStratifiedSplit.LongAry | |
| AstTable |
Variance between columns of a frame
TODO: Define "table" in terms of "groupby"
TODO: keep dense format for two-column comparison (like in previous version of Rapids)
(table X Y) ==>
(groupby (cbind X Y) [X Y] nrow TRUE)
|
| AstTfIdf |
Primitive AST operation to compute TF-IDF values for given document corpus.
Parameters: |
| AstUnique | |
| AstVariance |
Variance between columns of a frame
|
| SpearmanCorrelation |
| Enum | Description |
|---|---|
| AstCorrelation.Mode |