pyGAM
tabmat
pyGAM | tabmat | |
---|---|---|
2 | 1 | |
839 | 103 | |
- | 1.0% | |
2.4 | 8.2 | |
21 days ago | 10 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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pyGAM
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[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.
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[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
tabmat
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[P] glum: High performance Python generalized linear modeling, a glmnet alternative!
We're also releasing tabmat (https://github.com/Quantco/tabmat/), a tabular matrix backend for glum. It supports mixes of dense, sparse and categorical matrices. On some operations, tabmat is 50x faster than scipy.sparse! And it's memory-efficient.
What are some alternatives?
scikit-learn - scikit-learn: machine learning in Python
pycm - Multi-class confusion matrix library in Python
optuna - A hyperparameter optimization framework
glum - High performance Python GLMs with all the features!
Sparsebit - A model compression and acceleration toolbox based on pytorch.
DALEX - moDel Agnostic Language for Exploration and eXplanation
mixed-naive-bayes - Naive Bayes with support for categorical and continuous data
Empirical_Study_of_Ensemble_Learning_Methods - Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation