tensorflow / tensorflow/probability
how to save and restore VariationalGaussianProcess
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Description
i can successfully run the "Tabula Rasa" example in this medium.com blog. but when i try to save the model by adding a callback keyword argument to model.fit that points to tf.keras.callbacks.ModelCheckpoint i get TypeError: can't pickle SwigPyObject objects.
is this expected? is there another way to save the model? thanks.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by rerunning the linked “Tabula Rasa” example with tf.keras.callbacks.ModelCheckpoint and the VariationalGaussianProcess model. Investigate how saving and restoring is handled, then verify whether a supported workflow exists or document the limitation and expected behavior.
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Assessment
- Tech stack
- keras, machine-learning
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100