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Automatic hyperparameters tuning for topic models (ARTM approach) using evolutionary algorithms

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Refactor/skleran pipeline

- [x] refactor text processing pipeline as sklearn format - [x] add sklearn-like fit predict menu to main.py cli (autotmctl) - [x] refactor `print_topic()` to save topics as csv -...

fhrzn avatar fhrzn

Speed up dictionaries calculation

Bring back bigartm cli in case of it's availability on user's host and implement rb tree in python realization

ngc436 avatar ngc436

enhancement

Tf cooccurrence dictionary seems to have wrong normalization

ngc436 avatar ngc436

osa_tool recommendations

You can add the following information to the `About` section of your GitHub repository: - Description: Automatic hyperparameters tuning for topic models (ARTM approach) using evolutionary algorithms - Homepage: https://autotm.readthedocs.io...

osa-bot avatar osa-bot

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Automatic hyperparameters tuning for topic models (ARTM approach) using evolutionary algorithms

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