onlinesl: Computes the online super learner for a data set
In benkeser/onlinesl:

Description Usage Arguments Value Examples

This function uses online cross-validation to gauge the performance of a user-select library of online algorithms. More description to come.

onlinesl(Y, X, family, SL.library, nl = 200, parallel = "seq",
  ensembleControl = list(initialWtFn = "initialWt_Vfold", ensemblePredictFn =
  "convexLinCom", updateWtFn = "sgdWt_convexLinCom", maxCorrectWtStep = 100),
  trace = list(verbose = FALSE, saveRisk = NULL), lossFn = ".mse")

`inputParameter1`	A description of the input parameter
`inputParameter2`	A description of the input parameter

output A description of the object the function outputs

1	Examples to come

benkeser/onlinesl documentation built on May 12, 2019, 12:09 p.m.

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