parrt / stratxLinks
stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
☆66Updated last year
Alternatives and similar repositories for stratx
Users that are interested in stratx are comparing it to the libraries listed below
Sorting:
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- Helpers for scikit learn☆16Updated 2 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- Probabilistic Gradient Boosting Machines☆156Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Bringing back uncertainty to machine learning.☆53Updated last year
- scikit-learn-inspired time series☆200Updated last year
- Advanced random forest methods in Python☆58Updated last year
- implementation of Cyclic Boosting machine learning algorithms☆93Updated last year
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated 2 years ago
- Phi_K correlation analyzer library☆166Updated this week
- TabNet for fastai☆124Updated 2 weeks ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- Missing data amputation and exploration functions for Python☆72Updated 2 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 2 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 8 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆61Updated last year
- Generalized additive models in Python with a Bayesian twist☆78Updated last month
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated last year
- Example usage of scikit-hts☆57Updated 3 years ago
- Clustering for mixed-type data☆99Updated last year
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆31Updated 3 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated 2 years ago
- Multivariate Boosted TRee☆63Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year