Skip to main content

Auto-Mode (Coming Soon)

Roadmap — not yet available

Auto-Mode is a planned feature. There is no Auto-Mode endpoint today; nothing on this page works yet. Use the manual model-selection workflow below in the meantime.

When released, Auto-Mode will automatically select the best model and hyperparameters for your dataset — no ML expertise required.

What Auto-Mode Will Do​

  • Analyze your dataset (size, feature types, target distribution)
  • Recommend the best model for your task
  • Auto-configure hyperparameters based on data characteristics
  • Provide training time and accuracy estimates

In the Meantime​

Until Auto-Mode is available, use these resources to choose your model:

You can also list available model configs programmatically:

from colabhive import ColabHive

client = ColabHive(api_key="...", account_id="...")

configs = client.training.model_configs(active_only=True)
for c in configs:
    print(c.model_id, c.display_name, c.framework)

Or via REST:

curl "https://api.colabhive.com/api/builder/v1/training/model-configs" \
  -H "X-Account-ID: YOUR_ACCOUNT_ID" \
  -H "X-API-Key: YOUR_API_KEY"

Roadmap​

Auto-Mode is part of the Developer Experience phase of ColabHive's roadmap. If you have feedback on what you'd like from Auto-Mode, reach out on Discord.