cod3licious / autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
☆517Updated last month
Alternatives and similar repositories for autofeat:
Users that are interested in autofeat 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.☆612Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆646Updated 2 months ago
- machine learning with logical rules in Python☆634Updated last year
- Genetic feature selection module for scikit-learn☆324Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆576Updated 10 months ago
- EvalML is an AutoML library written in python.☆807Updated 2 weeks ago
- A Python library for dynamic classifier and ensemble selection☆487Updated 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…☆753Updated 8 months ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆471Updated 2 months ago
- Python implementation of the rulefit algorithm☆419Updated last year
- python partial dependence plot toolbox☆853Updated 8 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,565Updated 8 months ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- A power-full Shapley feature selection method.☆206Updated last year
- ML-Ensemble – high performance ensemble learning☆855Updated last year
- All Relevant Feature Selection☆133Updated last month
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆459Updated last month
- Python package for Imputation Methods☆248Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago
- Multiple Imputation with LightGBM in Python☆377Updated 9 months ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆139Updated 2 weeks ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Time Series Cross-Validation -- an extension for scikit-learn☆255Updated 2 years ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆543Updated last year
- AtsPy: Automated Time Series Models in Python (by @firmai)☆515Updated 2 years ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆505Updated last month
- A Tensorflow 2.0 implementation of TabNet.☆242Updated 2 years ago
- An extension of XGBoost to probabilistic modelling☆602Updated last week
- A fast xgboost feature selection algorithm☆222Updated 4 years ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆588Updated 5 months ago