- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1 - 10 of 34 for filetype:txt (0.01 sec)
-
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 26 03:23:13 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 26 08:01:36 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 26 08:01:48 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K bytes - Viewed (2) -
datasets.rst.txt
Datasets ========== .. autofunction:: lightfm.datasets.movielens.fetch_movielens .. autofunction:: lightfm.datasets.stackexchange.fetch_stackexchangemaking.lyst.com/lightfm/docs/_sources/datasets.rst.txtRegistered: Fri Apr 26 08:01:04 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 156 bytes - Viewed (0) -
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 26 08:00:31 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K bytes - Viewed (0) -
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 26 03:24:44 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 26 03:25:22 UTC 2024 - Last Modified: Wed Mar 13 16:48:11 UTC 2024 - 1.7K 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 26 08:01:51 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 8.4K 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 26 08:00:34 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 136 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 26 08:01:28 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 4.9K bytes - Viewed (0)