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model_categories.rst.txt
Model Categories ========== .. automodule:: h2o.model :members: :undoc-members: :show-inheritance: :mod:`ModelBase` ---------- .. automodule:: h2o.model.model_base :members: :undoc-members: :show-i...docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/model_categories.rst.txtRegistered: Fri May 17 03:25:57 UTC 2024 - Last Modified: Mon May 13 16:44:07 UTC 2024 - 2.1K bytes - Viewed (0) -
quickstart.rst.txt
Quickstart ========== In this example, we'll build an implicit feedback recommender using the Movielens 100k dataset (http://grouplens.org/datasets/movielens/100k/). The code behind this example is...making.lyst.com/lightfm/docs/_sources/quickstart.rst.txtRegistered: Fri May 17 08:06:54 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 4.9K bytes - Viewed (0) -
lightfm.evaluation.rst.txt
Model evaluation ========== .. automodule:: lightfm.evaluation :members: :undoc-members: :show-inheritance:making.lyst.com/lightfm/docs/_sources/lightfm.evaluation.rst.txtRegistered: Fri May 17 08:06:58 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 136 bytes - Viewed (0) -
hybrid_crossvalidated.rst.txt
Item cold-start: recommending StackExchange questions ========== In this example we'll use the StackExchange dataset to explore recommendations under item-cold start. Data dumps from the StackExcha...making.lyst.com/lightfm/docs/_sources/examples/hybrid_crossvalidated.rst.txtRegistered: Fri May 17 08:07:15 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 8.4K bytes - Viewed (0) -
index.rst.txt
{{ header }} .. _development: ========== Development ========== .. If you update this toctree, also update the manual toctree in the main index.rst.template .. toctree:: :maxdepth: 2 contributing c...pandas.pydata.org/pandas-docs/stable/_sources/development/index.rst.txtRegistered: Fri May 17 09:32:01 UTC 2024 - Last Modified: Thu Apr 11 14:17:43 UTC 2024 - 428 bytes - Viewed (0) -
assembly.rst.txt
H2OAssembly ========== .. autoclass:: h2o.assembly.H2OAssembly :members: :undoc-members: :show-inheritance:docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/assembly.rst.txtRegistered: Fri May 17 03:27:30 UTC 2024 - Last Modified: Mon May 13 16:44:07 UTC 2024 - 117 bytes - Viewed (0) -
LightGBM_logo_black_text.svg
.fil0 {fill:none} .fil5 {fill:#1B9AD7} .fil2 {fill:#76B644} .fil1 {fill:#EF4927} .fil4 {fill:#FCB518} .fil3 {fill:#4B4B4D;fill-rule:nonzero}lightgbm.readthedocs.io/en/latest/_images/LightGBM_logo_black_text.svgRegistered: Fri May 17 07:47:48 UTC 2024 - Last Modified: Wed Feb 01 03:38:30 UTC 2023 - 5.5K bytes - Viewed (1) -
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.txtRegistered: Fri May 17 08:05:55 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6K bytes - Viewed (0) -
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.txtRegistered: Fri May 17 08:06:51 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.9K bytes - Viewed (0) -
lightfm.rst.txt
LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members:making.lyst.com/lightfm/docs/_sources/lightfm.rst.txtRegistered: Fri May 17 08:06:38 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 88 bytes - Viewed (1)
