AutoViML / featurewizLinks
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
☆674Updated 10 months ago
Alternatives and similar repositories for featurewiz
Users that are interested in featurewiz are comparing it to the libraries listed below
Sorting:
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆641Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆535Updated this week
- EvalML is an AutoML library written in python.☆834Updated 2 weeks ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆765Updated last year
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆504Updated last month
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆544Updated 10 months ago
- Fast SHAP value computation for interpreting tree-based models☆549Updated 2 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆154Updated 8 months ago
- Feature engineering package with sklearn like functionality☆2,173Updated last month
- A power-full Shapley feature selection method.☆211Updated 2 months ago
- The practitioner's forecasting library☆346Updated 2 weeks ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆617Updated last year
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆437Updated last year
- Flexible time series feature extraction & processing☆436Updated last year
- All Relevant Feature Selection☆142Updated 8 months ago
- Multiple Imputation with LightGBM in Python☆401Updated last month
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆511Updated 8 months ago
- XGBoost + Optuna☆725Updated last year
- Predict time-series with one line of code.☆434Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆320Updated 8 months ago
- An extension of LightGBM to probabilistic modelling☆347Updated last week
- Leave One Feature Out Importance☆854Updated 10 months ago
- An extension of XGBoost to probabilistic modelling☆679Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,498Updated last week
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,559Updated last month
- Extra blocks for scikit-learn pipelines.☆1,372Updated 2 weeks ago