machinelearning and MLDotNet-BaseballClassification

About machinelearning

dotnet/machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

Provides AutoML capabilities for automated model selection and hyperparameter tuning, plus native support for consuming pre-trained TensorFlow and ONNX models. Built on a modular pipeline architecture that handles data loading from files/databases, feature transformations, and algorithm composition—enabling scenarios like classification, regression, forecasting, and anomaly detection. Runs on .NET Core and .NET Framework across Windows, Linux, macOS, and ARM64 architectures.

About MLDotNet-BaseballClassification

bartczernicki/MLDotNet-BaseballClassification

Machine Learning training job using historical baseball data & ML.NET to build a complete set of classifiers.