adamingas / ordinalgbtLinks
A package to build Gradient boosted trees for ordinal labels
☆19Updated 6 months ago
Alternatives and similar repositories for ordinalgbt
Users that are interested in ordinalgbt are comparing it to the libraries listed below
Sorting:
- MetaLearners for CATE estimation☆48Updated 2 weeks ago
- ☆122Updated this week
- A simple multicohort LTV calculator for subscriptions☆11Updated 2 years ago
- Repository containing the code of the projects presented in my personal website.☆44Updated 3 weeks ago
- A package for Safe Anytime Valid Inference☆26Updated 11 months ago
- Competing Risks and Survival Analysis☆108Updated last month
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 5 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- High performance Python GLMs with all the features!☆361Updated 2 weeks ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆58Updated this week
- Super-fast BART (Bayesian Additive Regression Trees) in Python☆75Updated last week
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆67Updated this week
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- A Pythonic microframework for multi-armed bandit problems☆130Updated last month
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 3 months ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Causal Inference in Python☆44Updated 3 weeks ago
- ☆25Updated 2 years ago
- Powerful add-ons for PyMC☆119Updated last week
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
- Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost☆36Updated 11 months ago
- Rethinking machine learning pipelines☆33Updated 3 weeks ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆174Updated last year
- Efficient matrix representations for working with tabular data☆125Updated last week
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆170Updated 3 months ago
- implementation of Cyclic Boosting machine learning algorithms☆94Updated last year
- Integrated tool for model development and validation☆31Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago