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    Models/Tabular Regression/scikit-learn/xgboost-example

    xgboost-example

    by scikit-learn

    Identifier
    Model ID
    scikit-learn/xgboost-example

    Tags

    sklearnskopstabular-regressionlicense:mitregion:us

    Use xgboost-example on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, xgboost-example runs as a managed extractor inside a processing pipeline. Point a bucket of tabular regression data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.