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The mlexec package is used to run scikit-learn type models with high abstraction.

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## Purpose The mlexec package is used to run scikit-learn type models with high abstraction, automating repetative tasks in training data preparation such as imputation, encoding etc. and during model tuning such as running CV, tuning and training.

## Steps to run 1. Install basic packages like pandas, scikit-learn etc. Exclude tensorflow if embeddings are not going to be used. `{sh} pip install -r requirements.txt ` 2. Move the folder mlexec to the working directory. Import and use!

MIT License

Copyright (c) 2023 DivM11

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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