cerlymarco / linear-treeLinks
A python library to build Model Trees with Linear Models at the leaves.
☆387Updated last year
Alternatives and similar repositories for linear-tree
Users that are interested in linear-tree are comparing it to the libraries listed below
Sorting:
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 weeks ago
- An extension of LightGBM to probabilistic modelling☆357Updated last month
- Quantile Regression Forests compatible with scikit-learn.☆252Updated last week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆439Updated last year
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆643Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- A power-full Shapley feature selection method.☆213Updated 3 months ago
- Predict time-series with one line of code.☆434Updated last year
- Probabilistic prediction with XGBoost.☆120Updated 10 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Updated last year
- An extension of XGBoost to probabilistic modelling☆684Updated last month
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆153Updated 9 months ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- Python package for Imputation Methods☆251Updated 2 years ago
- All Relevant Feature Selection☆142Updated 9 months ago
- The practitioner's forecasting library☆349Updated 3 weeks ago
- distfit is a python library for probability density fitting.☆413Updated last week
- BATS and TBATS forecasting methods☆183Updated 2 years ago
- Flexible time series feature extraction & processing☆437Updated last year
- Multiple Imputation with LightGBM in Python☆402Updated 3 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…☆677Updated 11 months ago
- Python Accumulated Local Effects package☆170Updated 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…☆102Updated 3 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Updated 3 weeks ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆298Updated last week
- Bayesian Structural Time Series / Unobserved Components☆34Updated last month
- TimeSHAP explains Recurrent Neural Network predictions.☆196Updated 2 years ago
- Time should be taken seer-iously☆319Updated 2 years ago
- Python implementation of the rulefit algorithm☆438Updated 2 years ago