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Results 1791 - 1800 of 2,394 for filetype:txt (0.04 sec)

  1. 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
    Registered: Mon Nov 04 07:08:46 UTC 2024
    - Last Modified: Wed Mar 09 16:56:08 UTC 2022
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  2. 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
    Registered: Mon Nov 04 06:52:28 UTC 2024
    - Last Modified: Wed Feb 01 03:38:27 UTC 2023
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  3. 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
    Registered: Mon Nov 04 06:52:42 UTC 2024
    - Last Modified: Fri Jul 19 02:27:03 UTC 2024
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  4. 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
    Registered: Mon Nov 04 06:53:35 UTC 2024
    - Last Modified: Wed Feb 01 03:38:27 UTC 2023
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  5. lightgbm.DaskLGBMClassifier.rst.txt

    lightgbm.DaskLGBMClassifier ========== .. currentmodule:: lightgbm .. autoclass:: DaskLGBMClassifier .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~DaskLGBMClassifier.__init__ ~Dask...
    lightgbm.readthedocs.io/en/latest/_sources/pythonapi/lightgbm.DaskLGBMClassifier.rst.txt
    Registered: Mon Nov 04 06:53:59 UTC 2024
    - Last Modified: Wed Jul 03 23:27:33 UTC 2024
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  6. Parameters-Tuning.rst.txt

    Parameters Tuning ========== This page contains parameters tuning guides for different scenarios. **List of other helpful links** - `Parameters <./Parameters.rst>`__ - `Python API <./Python-API.rst...
    lightgbm.readthedocs.io/en/latest/_sources/Parameters-Tuning.rst.txt
    Registered: Mon Nov 04 06:47:00 UTC 2024
    - Last Modified: Wed Jun 05 01:01:29 UTC 2024
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  7. 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
    Registered: Mon Nov 04 06:52:16 UTC 2024
    - Last Modified: Tue Oct 15 13:46:32 UTC 2024
    - 7.3K bytes
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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
    Registered: Mon Nov 04 07:09:12 UTC 2024
    - Last Modified: Wed Mar 09 16:56:08 UTC 2022
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  9. index.rst.txt

    {{ header }} .. _getting_started: ========== Getting started ========== Installation ---------- .. grid:: 1 2 2 2 :gutter: 4 .. grid-item-card:: Working with conda? :class-card: install-card :colum...
    pandas.pydata.org/pandas-docs/stable/_sources/getting_started/index.rst.txt
    Registered: Mon Nov 04 08:24:32 UTC 2024
    - Last Modified: Fri Sep 20 12:23:02 UTC 2024
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  10. GPU-Performance.rst.txt

    GPU Tuning Guide and Performance Comparison ========== How It Works? ---------- In LightGBM, the main computation cost during training is building the feature histograms. We use an efficient algori...
    lightgbm.readthedocs.io/en/latest/_sources/GPU-Performance.rst.txt
    Registered: Mon Nov 04 06:55:42 UTC 2024
    - Last Modified: Tue Nov 14 02:39:54 UTC 2023
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