-
Notifications
You must be signed in to change notification settings - Fork 18
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Request to develop Model Handler for Tensorflow/Keras #213
Comments
Hello there! Thank you for opening this issue and enjoying vetiver 👋 Before I look at a solution, are you able to give me a little more context on what models you are using and what the data looks like? I want to make sure I understand what users are doing and solve the right problem. In the meantime, there are custom handlers that may make it possible to serve Tensorflow models currently. |
I know that Posit (Rstudio) officially distributes tensorflow and keras packages. Maybe it's because my Python programming skills aren't high enough to write a custom Handler. I would be grateful if you could create a Handler for tensorlfow (keras). Thank you |
I'm open to creating a Tensorflow handler, especially since the R version of vetiver already has keras support. I'm particularly interested in the use case of the TensorFlow model you are using; eg, is it a model you're building in keras, like an image classification model, something from TensorFlow's pre-trained model garden, or something different? After a quick look, it seems like keras and TensorFlow may require separate handlers, and there are lots of TensorFlow extensions that would likely need slight accommodations in how a |
Thank you for your attention. I am developing an LSTM-based prediction model that predicts waveforms by adjusting control values. Plastic molding is performed by adjusting the injection speed or injection pressure in injection mold equipment, and the quality of the product can be indirectly known through the pressure waveform within the mold. The final goal is to create a system that recommends control values to obtain the desired waveform using an optimization algorithm after creating a prediction model. I plan to use Vetiver to perform machine learning every four months. My case is as above. Thank you 🙂 |
Thank you for creating and sharing a good package.
I would like you to develop a Model Handler for Tensorflow/Keras.
Thank you :)
The text was updated successfully, but these errors were encountered: