mirror of
https://github.com/webclinic017/drift.git
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6ae8acf70e
* feat(Models): added `debug_future_lookahead`, sped up LogisticRegression & DecisionTreeClassifier * feat(Training): added ability to train on expanding_window * feat(Models): tuned some hyperparameters, added expanding_window to sweep config, fixed tests * feat(Models): tune parameters of ensemble models * fix(Config): use window size that works with ensembling
24 lines
359 B
YAML
24 lines
359 B
YAML
name: quant
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channels:
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- johnsnowlabs
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- conda-forge
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- defaults
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dependencies:
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- python=3.9
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- seaborn
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- scikit-learn-intelex=2021.4.0
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- ipython
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- ipykernel
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- scipy
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- scikit-learn
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- numba
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- pytorch
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- matplotlib
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- numpy
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- quantstats
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- pytorch-lightning
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- pytest
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- wandb
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- python-dotenv
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prefix: /usr/local/anaconda3/envs/quant
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