Showing 3 open source projects for "select"

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  • 1
    Feature-engine

    Feature-engine

    Feature engineering package with sklearn like functionality

    Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow Scikit-learn's functionality with fit() and transform() methods to learn the transforming parameters from the data and then transform it.
    Downloads: 6 This Week
    Last Update:
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  • 2
    DocTR

    DocTR

    Library for OCR-related tasks powered by Deep Learning

    ...End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word). As such, you can select the architecture used for text detection, and the one for text recognition from the list of available implementations.
    Downloads: 18 This Week
    Last Update:
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  • 3
    HDBSCAN

    HDBSCAN

    A high performance implementation of HDBSCAN clustering

    ...In practice this means that HDBSCAN returns a good clustering straight away with little or no parameter tuning -- and the primary parameter, minimum cluster size, is intuitive and easy to select. HDBSCAN is ideal for exploratory data analysis; it's a fast and robust algorithm that you can trust to return meaningful clusters (if there are any).
    Downloads: 4 This Week
    Last Update:
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