All blog posts
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2023-12-29Upgrading Scikit-Learn decision tree models
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2023-11-25Extending Scikit-Learn with feature cross-references
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2023-10-15Training Scikit-Learn GridSearchCV StatsModels pipelines
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2023-07-17Converting Scikit-Learn H2O.ai pipelines to PMML
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2023-05-26Training PySpark LightGBM pipelines
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2023-05-03Converting customized Scikit-Learn estimators to PMML
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2023-03-28Training Scikit-Learn StatsModels pipelines
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2023-03-09Extending Scikit-Learn with UDF expression transformer
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2023-02-06Upgrading Scikit-Learn XGBoost pipelines
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2023-01-28Training Python-based XGBoost accelerated failure time models
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2023-01-12Converting Scikit-Learn PyCaret 3 pipelines to PMML
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2022-11-11Training Scikit-Learn H2O.ai pipelines
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2022-11-09Measuring the memory consumption of Scikit-Learn models
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2022-07-14Extending Scikit-Learn with CHAID models
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2022-05-06Extending Scikit-Learn with prediction post-processing
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2022-04-12One-hot encoding categorical features in Scikit-Learn XGBoost pipelines
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2021-08-04Benchmarking Scikit-Learn against JPMML-Evaluator
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2021-07-16Extending Scikit-Learn with outlier detector transformer
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2021-07-11Analyzing Scikit-Learn feature importances via PMML
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2021-02-27Training Scikit-Learn TF(-IDF) plus XGBoost pipelines
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2021-01-17Converting Scikit-Learn TF(-IDF) pipelines to PMML
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2020-10-24Converting Scikit-Learn Imbalanced-Learn pipelines to PMML
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2020-03-08Extending Scikit-Learn with date and datetime features
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2020-02-23Extending Scikit-Learn with feature specifications
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2020-02-16Deploying Apache Spark ML pipelines on Openscoring REST web service
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2020-01-19Converting logistic regression models to PMML
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2020-01-02Stacking Scikit-Learn, LightGBM and XGBoost models
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2019-12-25Converting Scikit-Learn GridSearchCV pipelines to PMML
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2019-12-03Deploying LightGBM models on Java/JVM platform
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2019-06-19Extending Scikit-Learn with GBDT+LR ensemble models
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2019-06-10Converting Scikit-Learn TPOT pipelines to PMML
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2019-04-07Converting Scikit-Learn LightGBM pipelines to PMML
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2019-02-28JPMML-Model: Configuring JAXB dependency for Java SE versions 8, 9, 10 and 11
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2019-02-26JPMML-Evaluator: Tracing and reporting ML model predictions
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2019-02-09Deploying R language models on Apache Spark ML
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2018-12-06JPMML-Evaluator: Upgrading from the Factory pattern to the Builder pattern
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2018-09-17Extending Scikit-Learn with business rules model
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2018-07-09Converting Apache Spark ML pipelines to PMML
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2018-06-15Troubleshooting PMML
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2016-07-04Using Apache Spark ML pipelines for real-time prediction: the Openscoring REST web service approach
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2015-05-15JPMML-Model: Extending PMML with custom XML content
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2015-02-06JPMML-Model: Transforming and measuring the memory consumption of class model objects
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2015-01-30Applying ML models to database data: the REST web service approach
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2014-06-20JPMML-Model: Converting PMML between different schema versions
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2014-05-15JPMML-Evaluator: Preparing arguments for evaluation
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2014-05-12Testing PMML applications