artificial-dataset

Artificial dataset generation from Gaussian noise, linear, polynomial, and sinusoidal components. The package provides two high-level generators — make_classification() and make_anomaly_dataset() — that return torch.Tensor objects ready for use in PyTorch training loops.

Contents:

• Installation
  • Requirements
  • From source
• Usage
  • Classification
  • Anomaly detection
  • Custom signal shapes
  • Evaluating a classifier
  • Low-level components
• Development
  • Setup
  • Pre-commit hooks
  • Running the tests
  • Building the documentation
• Modules
  • artificial_dataset package