smazzanti / mrmr
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
☆546Updated last month
Alternatives and similar repositories for mrmr:
Users that are interested in mrmr are comparing it to the libraries listed below
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆601Updated 10 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆569Updated 7 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…☆596Updated 8 months ago
- Multiple Imputation with LightGBM in Python☆369Updated 5 months ago
- A power-full Shapley feature selection method.☆202Updated 8 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆507Updated 3 months ago
- All Relevant Feature Selection☆123Updated 3 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆326Updated 3 months ago
- Fast SHAP value computation for interpreting tree-based models☆527Updated last year
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆331Updated 9 months ago
- A Python library for dynamic classifier and ensemble selection☆482Updated 9 months ago
- Flexible time series feature extraction & processing☆408Updated 4 months ago
- An extension of XGBoost to probabilistic modelling☆573Updated 6 months ago
- Experiments on Tabular Data Models☆271Updated last year
- A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.☆1,316Updated this week
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆467Updated last year
- 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 4 months ago
- Feature selection in neural networks☆225Updated 3 months ago
- A framework for prototyping and benchmarking imputation methods☆170Updated last year
- An extension of LightGBM to probabilistic modelling☆289Updated 7 months ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆378Updated 8 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆415Updated last year
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆597Updated 5 months ago
- Synthetic Minority Over-Sampling Technique for Regression☆322Updated 11 months ago
- TimeSHAP explains Recurrent Neural Network predictions.☆163Updated last year
- Feature Selection using Genetic Algorithm (DEAP Framework)☆368Updated last year
- Parallelized Mutual Information based Feature Selection module.☆288Updated 3 years ago
- Genetic feature selection module for scikit-learn☆322Updated 11 months ago
- Open source package for Survival Analysis modeling☆356Updated 10 months ago
- Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.☆133Updated 4 months ago