Pablo Flores

Fixed issue #2144

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# What does this PR do? Fixes #2144 (issue) by optimizing the topic extraction process when using `fit_transform()` with `nr_topics="auto"` or `int` for reducing topics. The main improvements are: 1....

Systematic test units for fit_transform()

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### Feature request As identified in PR #2191, the current test units do not cover the _process_ of fitting a model. In other words, is not testing the implementation of...

Align Logger Output with Documented Pipeline

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### Feature request Following some reflection based on a [closed PR](https://github.com/MaartenGr/BERTopic/pull/2180#issuecomment-2425958936), I want to suggest a change in the logger.info messages to align with the documentation and modular pipeline of...

[ENH] Validation loss for deep learning clustering

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### Describe the feature or idea you want to propose I am testing the different AutoEncoders implemented in aeon. I have noticed that the models are only storing the training...

In the original paper, the composite model has two aims. First, to reconstruct the input, which is correctly implemented here (i guess). Second, to predict the following timesteps. The training...