scikit-learn-contrib / MAPIELinks
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
☆1,454Updated this week
Alternatives and similar repositories for MAPIE
Users that are interested in MAPIE are comparing it to the libraries listed below
Sorting:
- Python package for conformal prediction☆515Updated 2 months ago
- A scikit-learn-compatible module for comparing imputation methods.☆138Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,491Updated 2 weeks ago
- Machine learning with dataframes☆1,452Updated last week
- A Python package for causal inference in quasi-experimental settings☆1,034Updated last week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆579Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆631Updated last year
- Extra blocks for scikit-learn pipelines.☆1,354Updated 2 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆610Updated last week
- A Library for Uncertainty Quantification.☆920Updated 4 months ago
- An extension of XGBoost to probabilistic modelling☆643Updated last month
- Multiple Imputation with LightGBM in Python☆390Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆346Updated 3 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆644Updated 7 months ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆694Updated this week
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆602Updated 9 months ago
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Scalable machine 🤖 learning for time series forecasting.☆1,064Updated 2 weeks ago
- A python library to build Model Trees with Linear Models at the leaves.☆381Updated last year
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆538Updated this week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆663Updated 6 months ago
- distfit is a python library for probability density fitting.☆400Updated last week
- Feature engineering package with sklearn like functionality☆2,125Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,993Updated 3 months ago
- An extension of LightGBM to probabilistic modelling☆330Updated last month
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆424Updated last year
- Time series forecasting with machine learning models☆1,363Updated last week
- 𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…☆521Updated this week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆703Updated last week
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,262Updated 5 months ago