pyGAM
glum
| pyGAM | glum | |
|---|---|---|
| 2 | 2 | |
| 839 | 284 | |
| - | 2.5% | |
| 2.4 | 8.3 | |
| 21 days ago | 5 days ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyGAM
-
[P] glum: High performance Python generalized linear modeling, a glmnet alternative!
GLMs are nice and all, but I'd also like to see some love for GAMs. pygam looks pretty much dead for some years now.
-
[P] Which Machine Learning Classifiers are best for small datasets? An empirical study
Ah they haven't quite gotten around to supporting multiclass classification yet! https://github.com/dswah/pyGAM/pull/213
glum
-
[P] glum: High performance Python generalized linear modeling, a glmnet alternative!
Thanks for the comment. Are you installing through conda or pip? conda install -c conda-forge glum should work for you! pip installation is not currently properly/fully supported (https://github.com/Quantco/glum/issues/463).
What are some alternatives?
scikit-learn - scikit-learn: machine learning in Python
vouch-proxy - an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
optuna - A hyperparameter optimization framework
EvoTrees.jl - Boosted trees in Julia
DALEX - moDel Agnostic Language for Exploration and eXplanation
tabmat - Efficient matrix representations for working with tabular data
Empirical_Study_of_Ensemble_Learning_Methods - Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
xcalib - Load 'vcgt'-tag of ICC profiles to X-server and MS-Windows. Works on calibration stage, which can be a precondition for display ICC color conversions.
voicemeeter-auto-affinity - Automatically sets the affinity of "audiodg.exe" to only one core on computer start to fix the crackling noises that can occur in VoiceMeeter.
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation