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Currently, in master we have 2 possibilities for fine tuning of models in chain: tune [all nodes recursively](https://github.com/nccr-itmo/FEDOT/blob/f74128329de8be91553e641af69689c2ce027b95/core/comp…
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1. Check how to integrate swagger with flask
2. Implement a prototype for fedot.web cases
See here for examples: https://github.com/swagger-api/swagger-ui
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In core classes (such as Chain, Node, Model, etc.) we have an optional key `verbose = True`, and depending on its value logs are either printed in console or not. However, it is required to add dublic…
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**The problem**
Opnsense integration was working but after upgdade of opnsense appears to be broken (see logs below)
I suspect it's because..
From the opnsense 21.1 changelog
https://forum.opn…
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In some cases, sklearn _model.fit_ freezes and does not respond indefinitely. Therefore, it significantly increases the total time of composing.
It would be useful to implement an additional feature…
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One of the Fedot ideas is the "atomization" of the composite models - so the composite model can be used as a simple atomic model during composition, fitting, and prediction in the chain.
![image](…
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Fedot provides functions for timeseries forecasting and some examples can be seen in `examples/time_series_forecasting.py`.
It could be useful to extend the examples with a 'comprehensive guide for d…
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Impement experimental pipeline with simple NLP-model (or even NaiveBayesClassifier) for text classification/sentiment analysis:
- New InputData format with generator-based logic (for texts batch-lo…
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Решая задачу классификации, результат предсказания не целые числа.
```
task = 'classification'
composer_params = {
'max_depth': 2,
'max_arity': 2,
'learning_time': 0.1
}
model =…
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Currently, in [core ](https://github.com/nccr-itmo/FEDOT/tree/master/core) module we have several logic submodules (composer, repository, models). However, in [test](https://github.com/nccr-itmo/FEDOT…