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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 Apr 26 08:01:39 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 Apr 26 08:01:42 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.9K 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 Apr 26 07:42:40 UTC 2024 - Last Modified: Wed Feb 01 03:38:30 UTC 2023 - 5.5K bytes - Viewed (1) -
pydata-sphinx-theme.js
(()=>{"use strict";var e,t,n,o,r={803:(e,t,n)=>{n.d(t,{Gu:()=>o,qu:()=>r});const o=e=>"string"==typeof e&&/^[v\d]/.test(e)&&a.test(e),r=(e,t,n)=>{h(n);const o=((e,t)=>{const n=c(e),o=c(t),r=n.pop()...pandas.pydata.org/pandas-docs/stable/_static/scripts/pydata-sphinx-theme.jsRegistered: Fri Apr 26 09:19:30 UTC 2024 - Last Modified: Thu Apr 11 14:17:48 UTC 2024 - 9K bytes - Viewed (0) -
lightfm.rst.txt
LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members:making.lyst.com/lightfm/docs/_sources/lightfm.rst.txtRegistered: Fri Apr 26 08:00:44 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 88 bytes - Viewed (1) -
index.rst.txt
{{ header }} .. _user_guide: ========== User Guide ========== The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as "working with missing data"), an...pandas.pydata.org/pandas-docs/stable/_sources/user_guide/index.rst.txtRegistered: Fri Apr 26 11:56:32 UTC 2024 - Last Modified: Thu Apr 11 14:17:48 UTC 2024 - 1.6K 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)
