programming_languages:r:parameter_description

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programming_languages:r:parameter_description [2017/03/19 18:36] – [proxy] phreazerprogramming_languages:r:parameter_description [2017/03/26 18:26] (current) – [dtw] phreazer
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 Issues: Issues:
-  * Documenting the possible entries is not easy, because a single model description already contains a lot of information. When many models must be described in help, the help page of the function becomes to large (in particular the parameter description part).+  * Documenting the possible entries is not easy, because a single model description already contains a lot of information. When many models must be described in help, the help page of the function becomes too large (in particular the parameter description part).
   * The model description itself should be structured.   * The model description itself should be structured.
  
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-preProcess: a string vector that defines a pre-processing of the+  preProcess: a string vector that defines a pre-processing of the
           predictor data. Current possibilities are "BoxCox",           predictor data. Current possibilities are "BoxCox",
           "YeoJohnson", "expoTrans", "center", "scale", "range",           "YeoJohnson", "expoTrans", "center", "scale", "range",
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 getModelInfo shows infos about models and packages that are accessible via ‘train’ getModelInfo shows infos about models and packages that are accessible via ‘train’
  
-Usage: +  Usage:
      modelLookup(model = NULL)      modelLookup(model = NULL)
            
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      package.      package.
  
-Value: +  Value: 
- +   ‘modelLookup’ produces a data frame with columns 
-     ‘modelLookup’ produces a data frame with columns +   
    model: a character string for the model code    model: a character string for the model code
- +    
-parameter : the tuning parameter name +   parameter : the tuning parameter name 
- +    
-  label : a tuning parameter label (used in plots) +   label : a tuning parameter label (used in plots) 
- +    
- forReg : a logical; can the model be used for regression? +   forReg : a logical; can the model be used for regression? 
- +    
-forClass : a logical; can the model be used for classification? +   forClass : a logical; can the model be used for classification? 
- +    
-probModel : a logical; does the model produce class probabilities?+   probModel : a logical; does the model produce class probabilities?
      ‘getModelInfo’ returns a list containing one or more lists of the      ‘getModelInfo’ returns a list containing one or more lists of the
      standard model information.      standard model information.
- +   
-     ‘checkInstall’ returns not value. +
 Returned info from getModelInfo is a rather cryptic list. Returned info from getModelInfo is a rather cryptic list.
  
 preProcess is a function which has it's own different method types. The methods are explained in the details section of the perProcess help page. preProcess is a function which has it's own different method types. The methods are explained in the details section of the perProcess help page.
 +
 trainControl is also a function, where different possible values for methods are listed, but not explained. Only hints which methods should be used under which circumstances. trainControl is also a function, where different possible values for methods are listed, but not explained. Only hints which methods should be used under which circumstances.
  
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   # directly print stepPattern (it's a class)   # directly print stepPattern (it's a class)
   print(symmetric2)   print(symmetric2)
 +  
 +===== arules =====
 +  object of class APparameter or named list.
 +
  • programming_languages/r/parameter_description.1489948592.txt.gz
  • Last modified: 2017/03/19 18:36
  • by phreazer