Logarithm::ModelError

Exception raised when machine learning model operations fail.

This includes failures in:

• Model training and convergence issues
• Model loading and deserialization errors
• Prediction/inference failures
• Model validation and integrity checks
• Memory or computational resource exhaustion

Example scenarios:

• Insufficient training data quality
• Model file corruption or incompatible versions
• GPU/memory allocation failures during training
• Invalid input data for model predictions