Ibotta / sk-distLinks
Distributed scikit-learn meta-estimators in PySpark
☆286Updated 7 months ago
Alternatives and similar repositories for sk-dist
Users that are interested in sk-dist are comparing it to the libraries listed below
Sorting:
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆326Updated 5 years ago
- Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).☆189Updated last year
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆707Updated 4 years ago
- Easy to use library to bring Tensorflow on Apache Spark☆297Updated 2 years ago
- Feature exploration for supervised learning☆761Updated 4 years ago
- Joblib Apache Spark Backend☆249Updated 7 months ago
- Python library for converting Scikit-Learn pipelines to PMML☆698Updated last month
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- Train and run Pytorch models on Apache Spark.☆341Updated 2 years ago
- Python library for converting Apache Spark ML pipelines to PMML☆99Updated last week
- Python PMML scoring library☆79Updated 3 months ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 6 years ago
- ☆296Updated 3 years ago
- Deploy AutoML as a service using Flask☆227Updated 8 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆504Updated 2 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Updated 3 years ago
- Java library and command-line application for converting XGBoost models to PMML☆131Updated last month
- AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…☆114Updated 5 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆78Updated last year
- Uplift modeling package.☆376Updated 3 years ago
- ☆34Updated 7 years ago
- XGBoost Feature Interactions Reshaped☆432Updated 8 years ago
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆255Updated 5 years ago
- Benchmarking Gradient Boosting in TensorFlow and XGBoost☆137Updated 7 years ago
- A Python wrapper for XGBoost4J-Spark classes.☆47Updated last year
- ☆248Updated 4 years ago
- A simplified version of featuretools for Spark☆31Updated 6 years ago
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 11 months ago
- The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.☆48Updated 7 years ago