madrury / basis-expansions
Basis expansion transformers in sklearn style.
☆96Updated 5 years ago
Alternatives and similar repositories for basis-expansions
Users that are interested in basis-expansions are comparing it to the libraries listed below
Sorting:
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- ☆111Updated this week
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- Bayesian Additive Regression Trees For Python☆225Updated last year
- Generalized Linear Models in Sklearn Style☆128Updated 5 years ago
- Time should be taken seer-iously☆315Updated 2 years ago
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆71Updated 2 years ago
- Multivariate data modelling with Copulas in Python☆152Updated 3 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 11 months ago
- Distance correlation and related E-statistics in Python☆149Updated 8 months ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Probabilistic prediction with XGBoost.☆109Updated last month
- ☆92Updated 5 months ago
- Python Accumulated Local Effects package☆165Updated 2 years ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated 3 weeks ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆267Updated last week
- Exploring and eliciting probability distributions☆134Updated last week
- scikit-learn-inspired time series☆200Updated last year
- Functional Data Analysis Python package☆325Updated this week
- A python package for time series forecasting with scikit-learn estimators.☆161Updated last year
- Bayesian Structural Time Series / Unobserved Components☆32Updated 3 months ago
- Hidden Markov models in PyMC3☆99Updated last year
- A power-full Shapley feature selection method.☆207Updated last year
- Examples of PyMC models, including a library of Jupyter notebooks.☆323Updated this week
- Powerful add-ons for PyMC☆101Updated this week