Logarithm::Tensor

Type alias for numerical tensors used in machine learning operations.

Represents vectors and matrices as arrays of Float32 values. Float32 provides sufficient precision for anomaly detection while maintaining computational efficiency and memory usage suitable for real-time processing.

Used throughout the vectorizer and model components for:

• Log text vectorization results
• Neural network weights and biases
• Feature representations
• Reconstruction errors