Carefree-learn

Latest version: v0.5.0

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2.57

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Zoo.search

Now `carefree-learn` supports empirical HPO via Zoo.search (2c19505), which can achieve good performances without searching in a large search space.


Misc

+ Upgraded `numpy` dependency in `pyproject.toml` to try to avoid building issues.
+ Optimized default `Zoo` settings (9e051d5).
+ Fixed & Optimized `Trainer` when `max_epoch` is specified (ea44d88).

2.27

0.30

0.4.1

Release Notes

We're happy to announce that `carefree-learn` released `v0.4.x`, which is much clearer, much more unified, and also much more lightweight!


Main Changes

In the `v0.3.x` era, `Pipeline`s (e.g., `MLPipeline`, `CVPipeline`) are implemented in a tricky and unpleasant way - they overly depend on inheritance, causing hundreds of thousands of duplicated / unneeded / workaround codes.

Same problems also occur at the `data` module: `MLData` is powerful but nobody can maintain it, `CVData` utilizes third party libraries pretty well but nobody knows how to use it.

In `v0.4.x`, we abstracted out the true `Pipeline` structure: it should just be a series of `Block`s. When it is running, each `Block` do its own job. When saving/loading, each `Block` saves/loads its own assets.

Under this design, we are able to refactor the original `Pipeline`s into a [unified one](https://github.com/carefree0910/carefree-learn/blob/dev/cflearn/pipeline/core.py). What's more exciting is that the `data` module can also be refactored into the new `Pipeline` structure, like [this](https://github.com/carefree0910/carefree-learn/blob/be4b7298b580c170685b6eeda974f1c47ee54bee/cflearn/schema.py#L535).

Documentation

`v0.4.x` is still under heavy development, so currently the documentation is out of date. I'll try to update it ASAP and before that, it might be a good start to look at the [examples](https://github.com/carefree0910/carefree-learn/tree/dev/examples), which cover quite a few use cases!

0.3.2

Miscellaneous fixes and updates.

0.3.1

Miscellaneous fixes and updates.

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