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README.md

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**lazy-learn** is a high-level Python interface for automated machine learning (AutoML). While there are many AutoML libraries available each typically solves a niche area of the overall ML pipeline without providing a covering and approachable end-to-end system.
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The aim of lazy-learn is exactly that. Given a dataset, lazy-learn will analyse types and distributions of attributes, preprocess, feature-engineer and ultimately train models to be used for further evaluation or inference.
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The aim of lazy-learn is exactly to cover all aspects. Given a dataset, lazy-learn will analyse types and distributions of attributes, preprocess, feature-engineer and ultimately train models to be used for further evaluation or inference.
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## Upcoming features
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pyproject.toml

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[project]
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name = "lazylearn"
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version = "0.0.3"
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version = "0.0.4"
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authors = [
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{ name="Frederik P. Høngaard", email="mail@frederikhoengaard.com" },
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]

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