Alternatives and similar repositories for linear-tree:

Users that are interested in linear-tree are comparing it to the libraries listed below

• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆289Updated 7 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆603Updated 11 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆576Updated 6 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆191Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆382Updated 9 months ago
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆370Updated 8 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 9 months ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆417Updated 3 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆371Updated 5 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆144Updated 11 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆222Updated this week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆570Updated 7 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆102Updated 6 months ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆162Updated last year
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆312Updated last year
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆745Updated 5 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆202Updated 8 months ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆465Updated 3 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆506Updated 4 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
  ☆1,328Updated this week
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆125Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated last year
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆596Updated 8 months ago
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆584Updated this week
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆408Updated 4 months ago
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆133Updated 5 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆411Updated last year