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A scikit-learn compatible library for anomaly detection

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- plot the ROC curves - compare various methods using 2-dimensional data - measure execution time of various methods - tune hyperparameters using the Lee-Liu metric - use UMAP and...

area: documentation
type: task
priority: high

type: enhancement
priority: middle
area: core

#### Description Insert the following command in a Dockerfile ``` pip install --upgrade pip setuptools ```

type: task
area: build
priority: high

type: task
area: build
priority: high

- AutoML - Interpretable ML - ML lifecycle - Interactive visualization - etc.

type: task
priority: high
area: others

See below - TPOT - auto-sklearn - hyperopt-sklearn - auto_ml

type: feature
priority: low
area: core

area: documentation
type: task
priority: low

type: task
priority: low
area: others