Robert Crowe

This seems to work. You'll need to write your own Service in C++, see the Tensorflow Serving advanced example. This is for a regression model. ``` # Get datasets train_features,...

I'll pull it together and send you a pull request.

@parasdahal - If you're referring to this: /tensorflow_serving/model_servers/tensorflow_model_server When I tried that it didn't work. I had to write my own service, similar to the advanced tutorial.

import tensorflow as tf tflearn runs on top of tensorflow, so you will always need to import tensorflow.

Thanks for the response, but I'm still mystified by this part: > R2 can be used for continuous values, but it requires X and Y to have same shape. I'm...

Nevermind, it's working. I did the update wrong (I should have read your comment again first). `pip install git+https://github.com/tflearn/tflearn.git`

I'm getting R2 results of greater than 1.0, but I don't think that should be possible. I would tend to think that it's overfitting, but if the number doesn't make...

It looks like there is the same problem with weighted R2: > Exception: Weighted R2 metric requires Inputs and Targets to have same shape. And I'm also still getting R2...

I changed lines 190-201 in jquery.tweet.js to this and it seems to work: ``` } else { var query = (s.query || 'from:'+s.username.join(' OR from:')); return { host: s.twitter_api_url, url:...