lucazav / binclass-tools
The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.
☆76Updated last year
Alternatives and similar repositories for binclass-tools:
Users that are interested in binclass-tools are comparing it to the libraries listed below
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- How to Interpret SHAP Analyses: A Non-Technical Guide☆51Updated 3 years ago
- Feature engineering package with sklearn like functionality☆52Updated 6 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 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…☆99Updated 2 years ago
- ☆197Updated last week
- Exploratory repository to study predictive survival analysis models☆33Updated last year
- How to use SHAP values for better cluster analysis☆56Updated 2 years ago
- A power-full Shapley feature selection method.☆203Updated 10 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆104Updated last year
- The long missing library for python confidence intervals☆137Updated 9 months ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- Python package for Gower distance☆77Updated 9 months ago
- Streamline scikit-learn model comparison.☆146Updated 2 years ago
- Example machine learning pipeline with MLflow and Hydra☆88Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated last week
- 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
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆84Updated last year
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- propensity score matching in python☆56Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆64Updated last week
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated last month
- ☆97Updated last week
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 4 months ago
- All Relevant Feature Selection☆131Updated last month
- Dataset shift diagnostics in Python☆34Updated last year
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆60Updated 6 months ago
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆42Updated 2 years ago
- Batch shap calculations.☆30Updated 2 years ago