SoftwareAG / nyoka
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
☆185Updated last year
Alternatives and similar repositories for nyoka:
Users that are interested in nyoka are comparing it to the libraries listed below
- Python PMML scoring library☆77Updated 2 months ago
- Python library for converting Apache Spark ML pipelines to PMML☆97Updated 2 months ago
- Java library and command-line application for converting XGBoost models to PMML☆129Updated last week
- Java library and command-line application for converting LightGBM models to PMML☆174Updated last week
- Python library for converting Scikit-Learn pipelines to PMML☆692Updated last week
- PMML scoring library for Scala☆64Updated 2 months ago
- Python client library for the Openscoring REST web service☆32Updated 3 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆254Updated 5 years ago
- Java library and command-line application for converting Apache Spark ML pipelines to PMML☆267Updated 2 months ago
- The simplest way to extend sklearn2pmml package with custom transformation and model types☆18Updated 7 years ago
- Isolation Forest on Spark☆227Updated 6 months ago
- A Python wrapper for XGBoost4J-Spark classes.☆47Updated last year
- PMML scoring library for Spark as SparkML Transformer☆21Updated 6 months ago
- Distributed scikit-learn meta-estimators in PySpark☆284Updated last year
- PMML evaluator library for Python☆21Updated 2 weeks ago
- Java library and command-line application for converting Scikit-Learn pipelines to PMML☆537Updated last week
- Joblib Apache Spark Backend☆245Updated last week
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- Spark Implementation of Google Facets Overview https://github.com/PAIR-code/facets☆55Updated last year
- Python PMML scoring library for PySpark as SparkML Transformer☆22Updated 4 months ago
- A simplified version of featuretools for Spark☆31Updated 5 years ago
- ☆162Updated 3 years ago
- JPMML-SparkML plugin for converting LightGBM-Spark models to PMML☆41Updated 3 years ago
- Spark-based GBM☆56Updated 5 years ago
- Sample application running fbprophet using spark☆48Updated 6 years ago
- PAKDD AutoML challenge 2nd Feature Engineering Part☆70Updated 4 years ago
- The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.☆48Updated 6 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models☆581Updated 7 months ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago