ML.NET component for LightGBM
Get Started
$ dotnet add package Microsoft.ML.LightGbmReadme
About
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
For more information, see the ML.NET documentation.
This package adds the ability to use LightGBM based transformers, a gradient boosting framework that uses tree based learning algorithms.
Key Features
- Classification/Categorization - Automatically divide customer feedback into positive and negative categories
- Regression/Predict continuous values - Predict the price of houses based on size and location
- Recommendations - Suggest products that online shoppers may want to buy, based on their previous purchases
How to Use
See Machine Learning Samples for an assortment of samples that show how to get started using ML.NET.
Main Types
Some of the types provided by this library are:
Microsoft.ML.Trainers.LightGbm.GradientBoosterMicrosoft.ML.Trainers.LightGbm.DartBoosterMicrosoft.ML.Trainers.LightGbm.GossBoosterMicrosoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer
Additional Documentation
Related Packages
- Main Package: Microsoft.ML
- Core data abstraction: Microsoft.ML.DataView
- Fast Tree: Microsoft.ML.FastTree
- Image analytics: Microsoft.ML.ImageAnalytics
- Recommender: Microsoft.ML.Recommender
- Time series: Microsoft.ML.TimeSeries
- Automatic model selection / tuning: Microsoft.ML.AutoML
- Exporting Onnx Models: Microsoft.ML.OnnxConverter
- Loading Onnx models: Microsoft.ML.OnnxTransformer
- Text tokenizers: Microsoft.ML.Tokenizers
Feedback & Contributing
Microsoft.ML is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.