Showing 2 open source projects for "machine learning regression"

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    Elasticsearch

    Elasticsearch

    A Distributed RESTful Search Engine

    Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types.
    Downloads: 3 This Week
    Last Update:
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    SageMaker Experiments Python SDK

    SageMaker Experiments Python SDK

    Experiment tracking and metric logging for Amazon SageMaker notebooks

    ...Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc.
    Downloads: 0 This Week
    Last Update:
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