Skip to content

Training Epoch

Definition
AI-generated

A training epoch is one full pass over the training dataset (or its shuffled partitions) under a given sampling protocol; practice estimates progress in epochs or steps and pairs them with validation curves, early stopping, and learning-rate schedules.

Topics
LLM and Agents Machine learning concepts
Synonyms
Epoch (machine learning)
Related
Batch Cross-Validation Genome-Wide Association Study (GWAS)

Why it matters in GWAS

Reporting how many epochs a genomic classifier ran—and whether early stopping used ancestry-stratified validation—helps others judge overfitting when models ingest linkage disequilibrium-rich inputs.

Example usage

"Chronology metadata were harmonized using Training Epoch conventions before temporal comparisons."

Batch Cross-Validation Genome-Wide Association Study (GWAS) Gradient Descent Loss Function Optimizer Regularization
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Goodfellow I, Bengio Y, Courville A. (2016). Deep Learning. MIT Press.
← Local-Ancestry GWAS (Tractor) Trait →

Last updated (UTC · Git history)