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tree.rst.txt
Tree Class in H2O ========== :mod:`H2O Tree Class` ---------- .. autoclass:: h2o.tree.H2OTree :members: :undoc-members: :show-inheritance: :mod:`H2O Node Class` ---------- .. autoclass:: h2o.tree.H...docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/tree.rst.txtRegistered: Fri May 17 03:26:59 UTC 2024 - Last Modified: Mon May 13 16:44:07 UTC 2024 - 608 bytes - Viewed (0) -
h2o.rst.txt
H2O Module ========== .. automodule:: h2o :members:docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/h2o.rst.txtRegistered: Fri May 17 03:24:26 UTC 2024 - Last Modified: Mon May 13 16:44:07 UTC 2024 - 57 bytes - Viewed (0) -
data.rst.txt
:tocdepth: 2 Data In H2O ========== An H2OFrame represents a 2D array of data where each column is uniformly typed. The data may be local or it may be in an H2O cluster. The data are loaded from a ...docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/data.rst.txtRegistered: Fri May 17 03:24:38 UTC 2024 - Last Modified: Mon May 13 16:44:07 UTC 2024 - 8.9K bytes - Viewed (0) -
faq.rst.txt
=== FAQ === Does LightFM have a GPU-based implementation? ========== No, there is no option to run training or inference on the GPU with LightFM. There are currently no plans to change this. See ht...making.lyst.com/lightfm/docs/_sources/faq.rst.txtRegistered: Fri May 17 08:06:02 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 2.4K 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) -
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) -
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 May 17 09:23:40 UTC 2024 - Last Modified: Thu Apr 11 14:17:48 UTC 2024 - 1.6K bytes - Viewed (0) -
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.txtRegistered: Fri May 17 09:31:16 UTC 2024 - Last Modified: Thu Apr 11 14:17:44 UTC 2024 - 19.6K bytes - Viewed (0)