ML.NET - Machine Learning made for .NET
summary
ML.NET is a free, open‑source, cross‑platform .NET ML framework delivered as the Microsoft.ML NuGet package that imports TensorFlow and ONNX models, trains and saves models to a ZIP, and loads them in production. It uses an IDataView/Estimator/Transformer API and supports regression, binary and multi‑class classification, clustering, recommenders and anomaly detection. Examples include Titanic survival, credit‑card fraud with ~0.99 accuracy and AUC 0.975, sentiment AUC 0.95 (accuracy 0.72), and a recommender predicting 3.7 stars using FastTree and matrix factorization.
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chapters (5)
- 0:00Start
- 3:49explore samples
- 8:34added the support for scoring using pre trained models
- 22:50fit the model on the data
- 27:38fitting the model to the data
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