Files
NexQuant/rdagent/scenarios/kaggle/experiment
TPTBusiness 2a6839e999 fix(security): resolve all 30 Bandit security alerts (B301, B614, B104)
- B301 (pickle): add nosec B301 to pd.read_pickle calls in Kaggle templates
  — files are trusted Kaggle-environment inputs, not user-supplied
- B614 (torch.load): add weights_only=True to all torch.load calls in
  model benchmark GT code and gt_code.py
- B104 (binding 0.0.0.0): change run_server and CLI default to 127.0.0.1;
  add nosec comment where all-interface binding is required for Docker

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-21 22:24:57 +02:00
..

Meta template

It is an example of how we organize the workspace of a competition. We expect all the competitions to align with it so the knowledge in modules (model, feature) can transfer.

The generation process of the initial template is hoped to be conducted by LLM (however, it is based on human efforts currently).