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Make a research on existing benchmarks for graph structure learning and automate the use of it.
For example, [this article](https://arxiv.org/abs/2310.05163v1) ([github](https://github.com/GSL-Benchm…
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Comparison with sklearn-pipelines
1) Memory consumption
2) Fit/inference time
3) Ability to build complex pipelines
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Прогноз нагрузки на стационары от пандемии ковида на примере Алмазова.
Поток в Алмазова линейно зависит от заболеваемости в СПб (судя по графикам). Строим 2 модели - прогноз заболеваемости (от Вас…
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While running `python main.py` it gives me following error.
```
Traceback (most recent call last):
File "main.py", line 5, in
from werkzeug.contrib.fixers import ProxyFix
ModuleNotFoundErr…
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This PR is a part of refactoring Sensitivity Analysis in FEDOT. The main goals are:
- [ ] Refactor `MultiOperationsHPAnalyze` and consider transferring this module to GOLEM
- [ ] Rewrite documenta…
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Возникает ошибка в функции [`data_has_categorical_features`](https://github.com/aimclub/FEDOT/blob/f02b6262adfbd1d7052e4456b953f2848f6cda42/fedot/core/data/data_preprocessing.py#L127), лог примерно та…
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I follow the instruction in this notebook[https://github.com/ITMO-NSS-team/fedot_electro_ts_case/blob/main/case/traffic_example/simple_automl.ipynb] and replace the dataset with my 12 steps CSV files …
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Hi this is great. Can't believe I didn't notice your repo.
I am a collector of univariate TS methods. I would like to massage some of your stuff into the "skater" format I use (see [skater signatu…
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- Derive oversampling/undersampling functions from existing libaries
- Implement automated data preprocessing for InputData as a part of Fedot API
- Run experiments to prove the efficiency of oversa…
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- Add simple Ensembling methods, such as TopModel, WeightedEnsemble and AverageEnsemble
- Discover the best practises of FE methods for classification/regression of table-like datasets
- Perform the…