[R4ML-137] CRAN possible problems

[bdwyer2]

• use private env for session info
• cleaned up zzz.R
• correctly import all non-base functions
• disabled broken logger test case
• fixed copyright in ml.preprocess.R

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[R4ML-CI]

Build triggered.

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Unit test failed.

[bdwyer2]

1. Error: scoring (@test-ml.model.mlogit.R#196) --------------------------------
attempt to apply non-function
1: predict(iris_log_reg, test) at testthat/test-ml.model.mlogit.R:196
2: (function (classes, fdef, mtable) 
   {
       methods <- .findInheritedMethods(classes, fdef, mtable)
       if (length(methods) == 1L) 
           return(methods[[1L]])
       else if (length(methods) == 0L) {
           cnames <- paste0("\"", vapply(classes, as.character, ""), "\"", collapse = ", ")
           stop(gettextf("unable to find an inherited method for function %s for signature %s", 
               sQuote(fdef@generic), sQuote(cnames)), domain = NA)
       }
       else stop("Internal error in finding inherited methods; didn't return a unique method", 
           domain = NA)
   })(list(structure("r4ml.mlogit", package = "R4ML")), structure(function (object, 
       ...) 
   standardGeneric("predict"), generic = structure("predict", package = "stats"), package = "stats", group = list(), valueClass = character(0), signature = "object", default = structure(function (object, 
       ...) 
   UseMethod("predict"), target = structure("ANY", class = structure("signature", package = "methods"), .Names = "object", package = "methods"), defined = structure("ANY", class = structure("signature", package = "methods"), .Names = "object", package = "methods"), generic = structure("predict", package = "stats"), class = structure("derivedDefaultMethod", package = "methods")), skeleton = (structure(function (object, 
       ...) 
   UseMethod("predict"), target = structure("ANY", class = structure("signature", package = "methods"), .Names = "object", package = "methods"), defined = structure("ANY", class = structure("signature", package = "methods"), .Names = "object", package = "methods"), generic = structure("predict", package = "stats"), class = structure("derivedDefaultMethod", package = "methods")))(object, 
       ...), class = structure("standardGeneric", package = "methods")), <environment>)
3: .findInheritedMethods(classes, fdef, mtable)
4: .newSignature(classes, fdef@signature)
5: .asS4(structure(as.character(classes)[i], class = .signatureClassName, names = as.character(names)[i], 
       package = pkgs))
6: asS4(object, TRUE, 0L)
7: structure(as.character(classes)[i], class = .signatureClassName, names = as.character(names)[i], 
       package = pkgs)
8: "factor" %in% attrib[["class", exact = TRUE]]
9: match(x, table, nomatch = 0L)
10: (function (x) 
   x$.self$finalize())(<environment>)

Error in signalCondition(e) : 
  no function to return from, jumping to top level
Calls: <Anonymous> -> .handleSimpleError -> h -> signalCondition
In addition: Warning message:
WARN[r4ml.session]:  driver.memory not defined. Defaulting to 2G 

Jenkins, retest this please

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[R4ML-CI]

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[R4ML-CI]

Build success. All unit tests passed.

[R4ML-CI]

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[R4ML-CI]

Build success. All unit tests passed.

[R4ML-CI]

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[R4ML-CI]

Build success. All unit tests passed.

[R4ML-CI]

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[R4ML-CI]

Build success. All unit tests passed.

[R4ML-CI]

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[R4ML-CI]

Build success. All unit tests passed.