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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 Apr 19 03:24:21 UTC 2024 - Last Modified: Wed Mar 13 16:48:11 UTC 2024 - 2.1K bytes - Viewed (0) -
metrics.rst.txt
Metrics in H2O ========== H2O Model Metrics ++++++++++ :mod:`MetricsBase` ---------- .. automodule:: h2o.model.metrics_base :members: :undoc-members: :show-inheritance: :noindex: :mod:`Binomial Cla...docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/metrics.rst.txtRegistered: Fri Apr 19 03:26:27 UTC 2024 - Last Modified: Wed Mar 13 16:48:11 UTC 2024 - 1.7K 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 Apr 19 07:56:02 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 Apr 19 07:56:53 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 Apr 19 07:56:56 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 Apr 19 09:32:00 UTC 2024 - Last Modified: Thu Apr 11 14:17:43 UTC 2024 - 428 bytes - Viewed (0) -
index.rst.txt
H2O Documentation ========== .. toctree:: intro h2o data frame modeling model_categories tree metrics assembly backend exceptions Indices and tables ========== * :ref:`genindex` * :ref:`modindex` *...docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/index.rst.txtRegistered: Fri Apr 19 03:22:50 UTC 2024 - Last Modified: Wed Mar 13 16:48:11 UTC 2024 - 266 bytes - Viewed (0) -
learning_schedules.rst.txt
Using different learning schedules ========== ``lightfm`` implements two learning schedules: adagrad and adadelta. Neither is clearly superior, and, like other hyperparameter choices, the best lear...making.lyst.com/lightfm/docs/_sources/examples/learning_schedules.rst.txtRegistered: Fri Apr 19 07:57:29 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 3.5K bytes - Viewed (1) -
movielens_implicit.rst.txt
An implicit feedback recommender for the Movielens dataset ========== Implicit feedback ---------- For some time, the recommender system literature focused on explicit feedback: the Netflix prize f...making.lyst.com/lightfm/docs/_sources/examples/movielens_implicit.rst.txtRegistered: Fri Apr 19 07:56:59 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K bytes - Viewed (2) -
home.rst.txt
Welcome to LightFM's documentation! ========== LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback. It also makes it possible...making.lyst.com/lightfm/docs/_sources/home.rst.txtRegistered: Fri Apr 19 07:56:16 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K bytes - Viewed (0)