Bigml and R

[Narbeh Yousefian]

Hi there, 

Just started using Bigml and discovered the R package. 

While I am familiar with R, connecting to Bigml using curl seems to be a stumbling block.

I get the following bad request, wondering where I am failing. My setCredentials("username", "api_key") is working fine.

and I used the following to get set up with curl.




# set the curl options
curl <- getCurlHandle()
options(RCurlOptions = list(capath = system.file("CurlSSL", "cacert.pem",
package = "RCurl"),
ssl.verifypeer = FALSE))
curlSetOpt(.opts = list(proxy = 'proxyserver:port'), curl = curl)


Source creation in progress...

Error in .check_for_code(result) : 

  Error: BigML returned code HTTP_BAD_REQUEST {

 "code":    400,

"status": {

 "code":  -1204,

"extra": {

 "dataset": {

 "fields": "The key of the objects in this field must be any of ['description', 'name', 'preferred', 'label']" 

} 

},

"message": "Bad request" 

} 

}

[Francisco J Martin | BigML]

Narbeh,

Will you please send us the exact request the exact HTTP request that curl is sending?

It looks like you are trying to create a dataset but the request is not being sent in the appropriate format.

Best, francisco

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[Narbeh Yousefian]

Hi Francisco, thanks for the quick reply!!

I am following this post http://blog.bigml.com/2012/05/10/r-you-ready-for-bigml/

I am using RStudio. I have copied out the entire command so let me know if this is over kill :) 

(the start of each line is a + or > which is from R, not the actual request I set)

> curl <- getCurlHandle()

> options(RCurlOptions = list(capath = system.file("CurlSSL", "cacert.pem",

+                                                  package = "RCurl"),

+                             ssl.verifypeer = FALSE))

> curlSetOpt(.opts = list(proxy = "proxyserver:port"), curl = curl)

An object of class "CURLHandle"

Slot "ref":

<pointer: 0x7fa5f74c1200>

> iris.model = quickModel(iris, objective_field = "Species")

[Francisco J Martin | BigML]

Narbeh,

Yeah! I could reproduce it. The quickModel isn't working properly.  We'll have a look at it.

I tried the "manual" steps and they seem to work fine. 

write.csv(iris, "~/iris.csv", row.names=F)

iris.source = createSource("~/iris.csv", 'iris')

iris.dataset = createDataset(iris.source$resource)

iris.model = createModel(iris.dataset$resource)

Please give them a try and let me know if they work for you. We'll try to fix the quickModel asap. 

Best, francisco

[Narbeh Yousefian]

Awesome thanks!

The manual steps also worked fine for me too. Thanks! now to use some real data ;)

Also, appreciate you getting back to me so quick Francisco, you help has made me want to use your product even more.

cheers, 

Narbeh Yousefian

[Enric Garcia Torrents]

I have encountered the same issue when following the tutorial on the R API. Unlike Narbeh, though, the "manual" steps don't seem to sort out the issue for me. I am using R 3.2 in Debian, and R 3.1.2 in Windows 8; I get the same error with both. Any ideas on why this may be happening, and how to solve it?

> write.csv(iris, "~/iris.csv", row.names=F)
> iris.source = createSource("~/iris.csv", 'iris')

Source creation in progress...
> 
> iris.dataset = createDataset(iris.source$resource)
Dataset creation in progress...
> 
> iris.model = createModel(iris.dataset$resource)
Error in .check_for_code(result) : 
  Error: BigML returned code HTTP_BAD_REQUEST {
 "code":    400,
"status": {
 "code":  -1204,
"extra": {
 "model": {
 "holdout": "This field is not postable" 
} 
},
"message": "Bad request" 
} 
}

Many thanks for your support!