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Results 11 - 20 of 2,425 for label:python (0.08 sec)

  2. GPU-Tutorial.rst.txt

    LightGBM GPU Tutorial ========== The purpose of this document is to give you a quick step-by-step tutorial on GPU training. We will use the GPU instance on `Microsoft Azure cloud computing platform...
    lightgbm.readthedocs.io/en/latest/_sources/GPU-Tutorial.rst.txt
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  3. dask-initial-setup.svg

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  4. Development-Guide.rst.txt

    Development Guide ========== Algorithms ---------- Refer to `Features <./Features.rst>`__ for understanding of important algorithms used in LightGBM. Classes and Code Structure ---------- Important...
    lightgbm.readthedocs.io/en/latest/_sources/Development-Guide.rst.txt
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  5. Python-Intro.rst.txt

    Python-package Introduction ========== This document gives a basic walk-through of LightGBM Python-package. **List of other helpful links** - `Python Examples <https://github.com/microsoft/LightGBM...
    lightgbm.readthedocs.io/en/latest/_sources/Python-Intro.rst.txt
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  6. lightgbm.CVBooster.rst.txt

    lightgbm.CVBooster ========== .. currentmodule:: lightgbm .. autoclass:: CVBooster .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~CVBooster.__init__ ~CVBooster.model_from_string ~CV...
    lightgbm.readthedocs.io/en/latest/_sources/pythonapi/lightgbm.CVBooster.rst.txt
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  7. lightgbm.Sequence.rst.txt

    lightgbm.Sequence ========== .. currentmodule:: lightgbm .. autoclass:: Sequence .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~Sequence.__init__ .. rubric:: Attributes .. autosumma...
    lightgbm.readthedocs.io/en/latest/_sources/pythonapi/lightgbm.Sequence.rst.txt
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  8. dataset.rst.txt

    Building datasets ========== In this example, we'll use LightFM's built-in ``Dataset`` class to build an interaction dataset from raw data. The goal is to demonstrate how to go from raw data (lists...
    making.lyst.com/lightfm/docs/_sources/examples/dataset.rst.txt
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  9. warp_loss.rst.txt

    Learning-to-rank using the WARP loss ========== LightFM is probably the only recommender package implementing the WARP (Weighted Approximate-Rank Pairwise) loss for implicit feedback learning-to-ra...
    making.lyst.com/lightfm/docs/_sources/examples/warp_loss.rst.txt
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  10. lightfm.rst.txt

    LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members: 88
    making.lyst.com/lightfm/docs/_sources/lightfm.rst.txt
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  11. fa-regular-400.woff2

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