cerlymarco / linear-treeLinks
A python library to build Model Trees with Linear Models at the leaves.
☆373Updated 10 months ago
Alternatives and similar repositories for linear-tree
Users that are interested in linear-tree are comparing it to the libraries listed below
Sorting:
- An extension of LightGBM to probabilistic modelling☆312Updated 11 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆195Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- A python package for time series forecasting with scikit-learn estimators.☆161Updated last year
- Predict time-series with one line of code.☆423Updated 7 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆577Updated 11 months ago
- An extension of XGBoost to probabilistic modelling☆616Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆615Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆146Updated last month
- Time should be taken seer-iously☆316Updated 2 years ago
- Quantile Regression Forests compatible with scikit-learn.☆230Updated last month
- Python Accumulated Local Effects package☆165Updated 2 years ago
- Multiple Imputation with LightGBM in Python☆380Updated 10 months ago
- A power-full Shapley feature selection method.☆208Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 2 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆649Updated 3 months ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆411Updated last year
- Probabilistic Gradient Boosting Machines☆154Updated last year
- Probabilistic prediction with XGBoost.☆109Updated 2 months ago
- BATS and TBATS forecasting methods☆182Updated 2 years ago
- Bayesian time series forecasting and decision analysis☆115Updated 2 years ago
- Bayesian Additive Regression Trees For Python☆227Updated last year
- distfit is a python library for probability density fitting.☆388Updated this week
- Python package for Imputation Methods☆248Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆267Updated 3 weeks ago
- Fast SHAP value computation for interpreting tree-based models☆540Updated last year
- A library to model multivariate data using copulas.☆591Updated this week
- Flexible time series feature extraction & processing☆418Updated 8 months ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆756Updated 9 months ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆664Updated 3 weeks ago