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API

Welcome to Sklong's API where you will find all references to each and one of the available modules of Scikit-Longitudinal, hyperparameters, examples and more. Enjoy the wander!

Documentation Under Alpha Construction

Some API reference pages are still being refined. If something looks incomplete or outdated, please open an issue.

  • Data Preparation

    The data preparation primitives help you load, inspect, and organise your longitudinal data before any downstream transformation or modelling step.

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  • Data Transformation

    The data transformation primitives are designed to start transforming your longitudinal data to either be ready for (A) standard machine learning primitives or (B) longitudinal-based machine learning ones.

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  • Preprocessors

    Preprocess your longitudinal data prior to perform machine learning. As of today, only Feature Selection for longitudinal data are available.

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  • Estimators

    Classifiers are designed to train on your longitudinal data to predict binary or multi-class label(s).

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  • Pipeline

    The pipeline primitives help you chain preparation, preprocessing, and modelling steps while preserving longitudinal metadata across the workflow.

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