qortex-learning
Bandit-based adaptive learning for qortex. Thompson Sampling with Beta-Bernoulli posteriors, persistent state via SQLite, and pluggable reward models.
Usage
from qortex.learning import Learner, LearnerConfig, Arm, ArmOutcome
learner = await Learner.create(LearnerConfig(name="prompts"))
candidates = [Arm(id="v1", token_cost=10), Arm(id="v2", token_cost=15)]
result = await learner.select(candidates, context={"task": "type-check"}, k=1)
await learner.observe(ArmOutcome(arm_id="v2", outcome="accepted", reward=1.0))
Part of the qortex workspace.
1 maintainer
Metadata
1 maintainer
Release files for qortex-learning 0.1.0
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| File | Interpreter | ABI | Platform | Reset |
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| qortex_learning-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.7 kB
Release files / qortex_learning-0.1.0.tar.gz
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