ludwig
                                
                                
                                
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                        Low-code framework for building custom LLMs, neural networks, and other AI models
Also adds `cross_validation` section to the schema. Doesn't have much affect for now, but in the future we may want to expand the role of cross validation, so putting it...
This PR: - stores the Posix timestamp of the last improvement in ProgressTracker - adds a convenience callback implementing `should_early_stop` that returns True if the given timeout has been reached...
This PR fixes the following bugs in preprocessing. Both bugs exist because we do joint preprocessing of `training_set`, `val_set` and `test_set` by concatenating then and passing them to `build_dataset`. -...
This PR begins the work required to add S4 ([paper](https://arxiv.org/abs/2111.00396), [code](https://github.com/HazyResearch/state-spaces/blob/main/src/models/sequence/ss/standalone/s4.py)) to Ludwig. The implementation work thus far has focused on adapting the high-level API of the `S4` class to...
This PR contains the following (so far): 1. Enable loading of time series data from column-major as well as row-major sources (specified by a config option). If column-major, all input...