William Jamir Silva

@WillianFuks I think this comment has a solution to the problem: https://github.com/tensorflow/probability/issues/1799#issuecomment-2059955263 In my local system, I replaced this line https://github.com/WillianFuks/tfcausalimpact/blob/master/causalimpact/model.py#L362: ```diff -optimizer = tf.optimizers.Adam(learning_rate=0.1) +optimizer = tf_keras.optimizers.Adam(learning_rate=0.1) ``` After...

Any news on this issue? The only PR that I could find that had an implementation for this issue was closed =/ https://github.com/RocketChat/Rocket.Chat/pull/10755

Looks like on Prefect 3 HTTP2 is disable by default: https://github.com/PrefectHQ/prefect/pull/15311

I'm also looking for a way to have one deployment with multiple schedules, and each schedule has different parameter values. My use case is for ML pipelines.

@cicdw Would it be possible to add this issue to the OSS Backlog for some upcoming v3.x updates?

Hi @desertaxle , thanks for the prompt response! If you meant `PREFECT_LOGGING_EXTRA_LOGGERS`, then yes, I have tried that, but unfortunately, it didn’t resolve the issue. For reference, I used the...

Hi @desertaxle, Is there any way I can help with this investigation? Are there any leads or suggestions on where I should begin to assist in resolving this issue? At...

I found the issue that was causing this error. Underneath, `pymc` was explicitly using multiprocessing with `fork`, which is why the flow was stuck. I managed to pass some parameters...

Hi @ColtAllen The issue I was running into was caused by the `mp_ctx` configuration in PyMC (reference: https://github.com/pymc-devs/pymc/blob/main/pymc/sampling/parallel.py#L400). On macOS, everything worked smoothly once I set the fit method parameter...