- Update DQN trainer with gradient collapse detection warmup - Add portfolio tracker improvements - Include hyperopt trial results (multiple Sharpe ratio experiments) - Add new test files for action/position sign convention, early stopping, cash reserve bugs, and portfolio execution - Update trained model files - Add Claude Code configuration and skills 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
497 B
497 B
neural-train
Train neural patterns from operations.
Usage
npx claude-flow training neural-train [options]
Options
--data <source>- Training data source--model <name>- Target model--epochs <n>- Training epochs
Examples
# Train from recent ops
npx claude-flow training neural-train --data recent
# Specific model
npx claude-flow training neural-train --model task-predictor
# Custom epochs
npx claude-flow training neural-train --epochs 100