nnetsauce is a tool for Statistical/Machine learning, in which pattern recognition is achieved by combining layers of randomized and quasi-randomized neural networks. These building blocks layers constitute the basis of many custom models, including models with deeper learning architectures; for regression, classification, and multivariate time series forecasting.
Information on package installation, use, documentation and source code (for contributing to its development) can be found through the following links:
- Read package/API documentation
- Contribute to package development/Read the source code
nnetsauce in action
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