pythonfix
h2o 3.46.0.1
H2O, Fast Scalable Machine Learning, for python
H2O, Fast Scalable Machine Learning, for python
Stars: 6701, Watchers: 6701, Forks: 1982, Open Issues: 2741The h2oai/h2o-3 repo was created 10 years ago and the last code push was 9 hours ago.
The project is extremely popular with a mindblowing 6701 github stars!
How to Install h2o
You can install h2o using pip
pip install h2o
or add it to a project with poetry
poetry add h2o
Package Details
- Author
- H2O.ai
- License
- Apache v2
- Homepage
- https://github.com/h2oai/h2o-3.git
- PyPi:
- https://pypi.org/project/h2o/
- GitHub Repo:
- https://github.com/h2oai/h2o-3
Classifiers
- Scientific/Engineering/Artificial Intelligence
- Scientific/Engineering/Information Analysis
Related Packages
Errors
A list of common h2o errors.
Code Examples
Here are some h2o code examples and snippets.
GitHub Issues
The h2o package has 2741 open issues on GitHub
- Question
- GH-15584: Fix python explain re-rendering [nocheck]
- Enable saving explain objects
- Fix python explain plots re-rendering
- GH-15574: Extended tests that consistently timeout. Py3.6, 3.7, 3.9 medium-large. [nocheck]
- Rename uplift tree models prediction columns from p_y1_ct1 p_y1_ct0 to p_y1_without_treatment and p_y1_with_treatment
- Create blog post on Uniform Robust method for histogram type
- Add documentation on Uniform Robust method for histogram type
- GH-15559: Add custom metric to SE [nocheck]
- GH-6784: Custom metric for deeplearning [no-check]
- GH-15565: Add custom metric to automl [nocheck]
- GH-15575: Fix custom metric calculation in CV [nocheck]
- Fix custom_metric computation for cross-validation
- Extend Jenkins job timeout intervals to avoid tests not being run.
- Inference for single row arff file fails
Related Packages & Articles
autogluon.core 1.0.0
AutoML for Image, Text, and Tabular Data
lightgbm 4.3.0
LightGBM Python Package
gluonts 0.14.4
Probabilistic time series modeling in Python.
feast 0.36.0
Python SDK for Feast
fastai 2.7.14
fastai simplifies training fast and accurate neural nets using modern best practices
dtreeviz 2.2.2
A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization
deepspeed 0.14.0
DeepSpeed is a Python package developed by Microsoft that provides a deep learning optimization library designed to scale across multiple GPUs and servers. It is capable of training models with billions or even trillions of parameters, achieving excellent system throughput and efficiently scaling to thousands of GPUs.
DeepSpeed is particularly useful for training and inference of large language models, and it falls under the category of Machine Learning Frameworks and Libraries. It is designed to work with PyTorch and offers system innovations such as Zero Redundancy Optimizer (ZeRO), 3D parallelism, and model-parallelism to enable efficient training of large models.
combo 0.1.3
A Python Toolbox for Machine Learning Model Combination
clearml-agent 1.8.0
ClearML Agent - Auto-Magical DevOps for Deep Learning