How to write a predict function for mlr predict to upload in AzureML as webservice?












0












$begingroup$


I am trying to upload a R Model in AzureML as webservice, for the linear model like Regression I use



PredictAction <- function(inputdata){
predict(RegModel, inputdata, type="response")
}


This is working perfectly fine in Azure.



When I use mlr package for classification with predict type probability, the predict function I have to write as,



PredictAction <- function(inputdata){
require(mlr)
predict(randomForest,newdata=inputdata)
}


When calling the



publishWebService(ws, fun, name, inputSchema)


It produces an Error as



converting `inputSchema` to data frame
Error in convertArgsToAMLschema(lapply(x, class)) :
Error: data type "table" not supported



as the predict function produces a table which I don't know how to convert or modify, so I give the outputschema



publishWebService(ws, fun, name, inputSchema,outputschema)


I am not sure how to specify the outputschema
https://cran.r-project.org/web/packages/AzureML/AzureML.pdf



outputschema is a list,



the predict function from mlr produces the output of class



class(pred_randomForest)
"PredictionClassif" "Prediction"


and the data output is a dataframe



class(pred_randomForest$data)
"data.frame"


I am seeking help on the syntax for outputschema in publishWebService function, or whether I have to add any other arguments of the function, Thanks in advance









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    0












    $begingroup$


    I am trying to upload a R Model in AzureML as webservice, for the linear model like Regression I use



    PredictAction <- function(inputdata){
    predict(RegModel, inputdata, type="response")
    }


    This is working perfectly fine in Azure.



    When I use mlr package for classification with predict type probability, the predict function I have to write as,



    PredictAction <- function(inputdata){
    require(mlr)
    predict(randomForest,newdata=inputdata)
    }


    When calling the



    publishWebService(ws, fun, name, inputSchema)


    It produces an Error as



    converting `inputSchema` to data frame
    Error in convertArgsToAMLschema(lapply(x, class)) :
    Error: data type "table" not supported



    as the predict function produces a table which I don't know how to convert or modify, so I give the outputschema



    publishWebService(ws, fun, name, inputSchema,outputschema)


    I am not sure how to specify the outputschema
    https://cran.r-project.org/web/packages/AzureML/AzureML.pdf



    outputschema is a list,



    the predict function from mlr produces the output of class



    class(pred_randomForest)
    "PredictionClassif" "Prediction"


    and the data output is a dataframe



    class(pred_randomForest$data)
    "data.frame"


    I am seeking help on the syntax for outputschema in publishWebService function, or whether I have to add any other arguments of the function, Thanks in advance









    share







    New contributor




    prem is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      0





      $begingroup$


      I am trying to upload a R Model in AzureML as webservice, for the linear model like Regression I use



      PredictAction <- function(inputdata){
      predict(RegModel, inputdata, type="response")
      }


      This is working perfectly fine in Azure.



      When I use mlr package for classification with predict type probability, the predict function I have to write as,



      PredictAction <- function(inputdata){
      require(mlr)
      predict(randomForest,newdata=inputdata)
      }


      When calling the



      publishWebService(ws, fun, name, inputSchema)


      It produces an Error as



      converting `inputSchema` to data frame
      Error in convertArgsToAMLschema(lapply(x, class)) :
      Error: data type "table" not supported



      as the predict function produces a table which I don't know how to convert or modify, so I give the outputschema



      publishWebService(ws, fun, name, inputSchema,outputschema)


      I am not sure how to specify the outputschema
      https://cran.r-project.org/web/packages/AzureML/AzureML.pdf



      outputschema is a list,



      the predict function from mlr produces the output of class



      class(pred_randomForest)
      "PredictionClassif" "Prediction"


      and the data output is a dataframe



      class(pred_randomForest$data)
      "data.frame"


      I am seeking help on the syntax for outputschema in publishWebService function, or whether I have to add any other arguments of the function, Thanks in advance









      share







      New contributor




      prem is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am trying to upload a R Model in AzureML as webservice, for the linear model like Regression I use



      PredictAction <- function(inputdata){
      predict(RegModel, inputdata, type="response")
      }


      This is working perfectly fine in Azure.



      When I use mlr package for classification with predict type probability, the predict function I have to write as,



      PredictAction <- function(inputdata){
      require(mlr)
      predict(randomForest,newdata=inputdata)
      }


      When calling the



      publishWebService(ws, fun, name, inputSchema)


      It produces an Error as



      converting `inputSchema` to data frame
      Error in convertArgsToAMLschema(lapply(x, class)) :
      Error: data type "table" not supported



      as the predict function produces a table which I don't know how to convert or modify, so I give the outputschema



      publishWebService(ws, fun, name, inputSchema,outputschema)


      I am not sure how to specify the outputschema
      https://cran.r-project.org/web/packages/AzureML/AzureML.pdf



      outputschema is a list,



      the predict function from mlr produces the output of class



      class(pred_randomForest)
      "PredictionClassif" "Prediction"


      and the data output is a dataframe



      class(pred_randomForest$data)
      "data.frame"


      I am seeking help on the syntax for outputschema in publishWebService function, or whether I have to add any other arguments of the function, Thanks in advance







      machine-learning r azure-ml





      share







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      prem is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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