pytorch-classification-for-variable-length-1d-arrays

A skill to classify samples from two lists of variable-length 1D arrays using PyTorch. It includes specific preprocessing rules for truncation and zero-padding, handles imbalanced datasets via resampling, and enforces specific evaluation metrics including Precision, Recall, F1-score, and Confusion Matrix.