wdm0006 / sklearn-extensions
A consolidated package of small extensions to scikit-learn
☆24Updated last year
Related projects: ⓘ
- Helpers for constructing scikit-learn grid search☆37Updated 4 years ago
- a feature engineering wrapper for sklearn☆50Updated 4 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆46Updated 3 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 8 years ago
- a supplemental library for machine learning that incorporates various conveniences and functionalities either missing or not presently co…☆9Updated 6 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- A stacked generalization framework. Built on top of scikit learn☆56Updated last year
- simple python interface to SMAC.☆21Updated 6 years ago
- Scalable pattern search optimization with dask☆21Updated 7 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 8 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆55Updated 3 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 5 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- Remove Tomek Links from your data.☆31Updated 6 years ago
- Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.☆78Updated 6 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆12Updated 3 years ago
- Tutorial on interpreting and understanding machine learning models☆67Updated 5 years ago
- Home of the PipeGraph extension to Scikit-Learn☆24Updated last year
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- ☆69Updated 4 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 8 years ago
- Process, visualize and use data easily.☆20Updated last year
- Multidimensional isotonic regression☆26Updated 7 years ago
- ☆20Updated this week
- A python wrapper for the PROPACK library☆51Updated 7 years ago
- Ridiculously fast random subset sampling☆14Updated 6 years ago
- ☆12Updated 2 years ago