I get errors when posting prediction requests, but when posting the same requests from the online interface (from Google's API reference page) works well. I have also posted a new issue on the Git repository, but it seems that no-one even looks at these issues. How lame of Google !!
Well I am posting predict request, which look like this:
var parameters = {
auth: jwtClient,
project: googleProjectID,
id: 'interest_classifier',
input: {
csvInstance: ["country united states", "/location/location"]
}
};
return prediction.trainedmodels.predict(parameters, function(err, response) {
if (err) {
logger.info(null, "prediction err ", err);
}
logger.info(null, "response from predict ", response);
return callback(null, response);
});
And I get this:
err { [Error: Input data invalid.]
code: 400,
errors:
[ { domain: 'global',
reason: 'invalidValue',
message: 'Input data invalid.' } ] }
To clarify: my trained model contains a value and two textual features. Again, when running this from the online tool (client side) it works well, only when I run it from my node.js server, does it fail.
What's up with that? Anyone knows? Could this be some encoding issue? request headers?
EDIT:
this is how i authenticate :
var jwtClient = new google.auth.JWT('*****@developer.gserviceaccount.com', 'keys/key.pem', null, ['https://www.googleapis.com/auth/prediction']);
jwtClient.authorize(function(err, tokens) {
logger.info(null, "authorizing");
if (err) {
logger.info(null, "error ", err);
} else {
return logger.info(null, "authenticated ", tokens);
}
});