antrophiclove
← Kütüphaneye dön
Kurulum
mkdir -p .claude/commands && curl -sL https://www.antrophiclove.com/api/kaynak/track/raw -o .claude/commands/track.md

Hedef dosya: .claude/commands/track.md

ÖnizlemeHam metin⑂ Kendi sürümünü oluştur

Track an ML experiment by logging parameters, metrics, and artifacts for comparison.

Steps

  1. Define the experiment metadata:
  2. Log hyperparameters:
  3. Log metrics during and after training:
  4. Save artifacts:
  5. Record environment details:
  6. Tag the experiment with status (running, completed, failed).
  7. Store results in a structured format for later comparison.

Format

Experiment: <name>
Date: <timestamp>
Hypothesis: <what is being tested>
Params: { learning_rate: X, batch_size: Y, ... }

Rules

  • Always log random seeds for reproducibility.
  • Record the exact dataset version used.
  • Never overwrite previous experiment results.