Alternatives and similar repositories for clogistic:

Users that are interested in clogistic are comparing it to the libraries listed below

• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• xRiskLab / xBooster
  Explainable Boosted Scoring
  ☆14Updated 5 months ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 4 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆94Updated last week
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• Y-oHr-N / OptGBM
  Optuna + LightGBM = OptGBM
  ☆35Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated this week
• microprediction / m6
  M6-Forecasting competition
  ☆42Updated last year
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆59Updated last year
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated 4 months ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆47Updated last month
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• Liam-E2 / RotationForest
  A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
  ☆20Updated 5 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆30Updated 3 years ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 2 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆50Updated 9 months ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 6 months ago