ludwig
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ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
This PR updates the default styled parameters in hyperopt to follow the same naming convention as the new defaults section in Ludwig v0.6. Parameters will now have the following convention:...
PR to refactor Encoder/Decoder section of input/output features so that it is nested one level deeper. For example, an input feature that originally looked like this: ``` input_features: - name:...
Once `time_budget_s` is reached during hyperopt, all the Ray Actors incrementally die. ``` 2022-08-04 17:47:10,441 INFO stopper.py:350 -- Reached timeout of 180 seconds. Stopping all trials. == Status == Current...
**Describe the bug** When trying to run Hyperopt with AsyncHyperband, I see the following on my console: ``` Stage 0: : 4it [00:10, 2.27s/it] pid=5557, ip=192.168.44.226) Stage 0: : 4it...
- Refactors LudwigModule into its own file `ludwig_module.py` (from `torch_utils.py`) - Adds `LudwigModuleState` dataclass, which is a POD representation any ludwig module. - Adds `get_state()` and `@classmethod restore_from_state()` methods forto`LudwigModule`...
[DRAFT PR]: feature complete but needs documentation. - Adds `version_transformation.py`, which defines a registry of transformation functions tagged by version. - `version_transformation.py` provides `upgrade_to_latest_version()` - Removes compatibility updating code from`defaults.py`'s...
**Is your feature request related to a problem? Please describe.** Yes. I would like to know how many trials are pending/running/finished. How can I get the status from external? **Describe...
We don't have any feature specific parameter tests for hyperopt - all the existing tests hyperopt over trainer/combiner parameters, or over shared/default parameters. We should have a test for feature-specific...
Ray's [`to_dask()`](https://docs.ray.io/en/latest/_modules/ray/data/dataset.html#Dataset.to_dask) function is called when predictions are being generated, but the Ray implementation doesn't pass in any meta related information into `dd.from_delayed`. I believe that in some instances (small...