Harness Ml
UnclaimedAn Agent-Computer Interface (ACI) for AI-driven machine learning.
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competitions
Simulations, brackets, scoring for tournament events
configure
Init projects, set backtest/ensemble config, run guardrail checks
data
Ingest sources, validate, fill nulls, rename, derive columns, manage views, upload to Drive/Kaggle
experiments
Create/run/promote experiments with config overlays, required hypothesis, Bayesian exploration
models
Add/update/clone models, batch operations, class weighting, append/remove features
pipeline
Run backtests, predict, diagnostics, compare runs, explain models, workflow progress, export notebooks