mthorrell / wideboostLinks
Wrappers to implement wide boosting using popular boosting frameworks
☆13Updated 2 years ago
Alternatives and similar repositories for wideboost
Users that are interested in wideboost are comparing it to the libraries listed below
Sorting:
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- ☆30Updated 7 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Gradient boosting on steroids☆28Updated last year
- WIP predicted survival functions☆38Updated 5 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Time Series Forecasting Framework☆41Updated 2 years ago
- Featuretools' DFS as a scikit-learn transformer☆11Updated 3 years ago
- Repo for the ML_Insights python package☆152Updated 3 months ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- The Python wrapper for LowRankModels.jl.☆15Updated 5 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- CBM Encoding☆19Updated 4 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated 2 years ago
- Bayesian estimation supersedes the t-test☆15Updated 11 months ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- mlmachine accelerates machine learning experimentation☆29Updated 3 years ago
- ☆26Updated 7 years ago
- Home of the PipeGraph extension to Scikit-Learn☆24Updated 4 months ago
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆72Updated 2 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Comparing different performance estimation methods for time series forecasting tasks☆37Updated 2 months ago