auto-sklearn
DIgging
| auto-sklearn | DIgging | |
|---|---|---|
| 3 | 1 | |
| 7,403 | 81 | |
| 0.8% | - | |
| 1.8 | 10.0 | |
| 4 months ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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auto-sklearn
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Why not AutoML every tabular data?
Efficiency Ignoring the feature engineering aspects aside, a typical data scientist workflow involves trying out the different models. Some of the AutoML modules like H2O AutoML, AutoSklearn does this for you, and allow you to interpret your models. All these save so much time experimenting with the standard models.
- [R] Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
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What free AutoML library do you recommend?
If you want a more stable AutoML library, i’ll suggest auto-sklearn which optimises performance of sklearn learning algorithms.
DIgging
What are some alternatives?
autogluon - Fast and Accurate ML in 3 Lines of Code
tiny_gp - Tiny Genetic Programming in Python
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
syne-tune - Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
modAL - A modular active learning framework for Python
OCTIS - OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.