sdpython / mlinsightsLinks
Extends scikit-learn with new models, transformers, metrics, plotting.
☆73Updated 2 months ago
Alternatives and similar repositories for mlinsights
Users that are interested in mlinsights are comparing it to the libraries listed below
Sorting:
- scikit-learn-inspired time series☆200Updated last year
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Clusteval provides methods for unsupervised cluster validation☆60Updated last month
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Confidence intervals for scikit-learn forest algorithms☆288Updated last month
- Advanced random forest methods in Python☆57Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆71Updated 2 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- ☆30Updated 7 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆150Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with …☆37Updated 11 months ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆148Updated last month
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.☆20Updated 5 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆26Updated 5 years ago
- Bayesian time series forecasting and decision analysis☆115Updated 2 years ago
- Pancake is a Python package which provides a simple API to stack scikit-learn models.☆28Updated 6 years ago