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Narasimhan ChenduruNarasimhan Chenduru 

Predictive services, get status of the training

So, i have gone through the steps mentioned in the Metamind for developing the predictive services. In the step before the final step, we could go a GET request and fetch the status of the training model. My question is how long does this generally take to start the process. I have submitted the request and its been a couple of hours but still the training is in Queued. 
Does this fall on the lines of asynchronous apex, where in it can take a maximum of 24 hours?


Thanks,
Narasimhan.
 
Michael Machado 22Michael Machado 22
Hi Narasimhan,

This issue has been resolved.  Training typically takes no more than 20-30 minutes depending on the size of the dataset and items in Queue.  

We apologize for the delay and please let us know if you run into any other issues.

-MM
Joseph Daily 29Joseph Daily 29

Hello,

I'm having an issue with trying to successfully train a model after I upload it.

I'm modeling my code after this: https://github.com/MetaMind/apex-utils/blob/master/Vision.apex
But the response that comes back is always a 403 : forbidden message.

Is there anything obvious causing this in my code?


    @AuraEnabled
    public static String postDatasetTrain(string datasetId, string datasetName) {
        // Get a new token
        JWT jwt = new JWT('RS256');
        jwt.cert = 'SelfSignedCert_18Jul2016_235259';
        jwt.iss = 'developer.force.com';
        jwt.sub = 'joseph.daily@careerbuilder.com';
        jwt.aud = 'https://api.metamind.io/v1/oauth2/token';
        jwt.exp = '3600';
        String access_token = JWTBearerFlow.getAccessToken('https://api.metamind.io/v1/oauth2/token', jwt);      
        
        String VISION_API = 'https://api.metamind.io/v1/vision';
        String DATA_TRAIN = VISION_API + '/train';
        string contentType = HttpFormBuilder.GetContentType();
        //  Compose the form
        string form64 = '';      
        form64 += HttpFormBuilder.WriteBoundary();
        form64 += HttpFormBuilder.WriteBodyParameter('name', datasetName);
        form64 += HttpFormBuilder.WriteBoundary();
        form64 += HttpFormBuilder.WriteBodyParameter('datasetId', datasetId);        
        form64 += HttpFormBuilder.WriteBoundary(HttpFormBuilder.EndingType.CrLf);
        
        blob formBlob = EncodingUtil.base64Decode(form64);
        string contentLength = string.valueOf(formBlob.size());
        //  Compose the http request
        HttpRequest httpRequest = new HttpRequest();
        
        httpRequest.setBodyAsBlob(formBlob);
        httpRequest.setHeader('Connection', 'keep-alive');
        httpRequest.setHeader('Content-Length', contentLength);
        httpRequest.setHeader('Content-Type', contentType);
        httpRequest.setMethod('POST');
        httpRequest.setTimeout(120000);
        httpRequest.setHeader('Authorization','Bearer ' + access_token);
        httpRequest.setEndpoint(DATA_TRAIN);
        
        Http http = new Http();
        HTTPResponse res = http.send(httpRequest);
        system.debug('res: ' + res);
        system.debug('res.getBody(): ' + res.getBody());
        return res.getBody();
    }