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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

machine-learning r azure-ml

share

asked 6 mins ago

premprem

1

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.

$endgroup$

add a comment | 

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

machine-learning r azure-ml

share

asked 6 mins ago

premprem

1

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.

$endgroup$

add a comment | 

$begingroup$

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

machine-learning r azure-ml

share

asked 6 mins ago

premprem

1

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.

$endgroup$

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

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

publishWebService(ws, fun, name, inputSchema)

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

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

class(pred_randomForest)
"PredictionClassif" "Prediction"

class(pred_randomForest$data)
"data.frame"

share

asked 6 mins ago

premprem

1

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.

share

asked 6 mins ago

premprem

1

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.

asked 6 mins ago

premprem

1

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.

asked 6 mins ago

premprem

1