hyperopt / hyperopt-sklearnLinks
Hyper-parameter optimization for sklearn
☆1,644Updated 4 months ago
Alternatives and similar repositories for hyperopt-sklearn
Users that are interested in hyperopt-sklearn are comparing it to the libraries listed below
Sorting:
- Sequential model-based optimization with a `scipy.optimize` interface☆2,785Updated last year
- ML-Ensemble – high performance ensemble learning☆859Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,583Updated last year
- ☆759Updated 2 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,518Updated 2 years ago
- python partial dependence plot toolbox☆860Updated 11 months ago
- A library of sklearn compatible categorical variable encoders☆2,455Updated 2 months ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆772Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 4 months ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,654Updated 4 years ago
- Pandas integration with sklearn☆2,840Updated 2 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,053Updated 2 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,765Updated last month
- scikit-learn compatible projects☆411Updated 4 months ago
- Open source time series library for Python☆2,133Updated last year
- Python package for stacking (machine learning technique)☆694Updated last year
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆911Updated last week
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,177Updated 2 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,439Updated 11 months ago
- machine learning with logical rules in Python☆644Updated last year
- Feature exploration for supervised learning☆764Updated 4 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 4 months ago
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,275Updated last year
- open-source feature selection repository in python☆1,546Updated last year
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,329Updated 6 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆463Updated 2 years ago
- Scalable Machine Learning with Dask☆942Updated 3 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆419Updated 2 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- A Python library for dynamic classifier and ensemble selection☆491Updated last year