Files
NexQuant/rdagent/app/qlib_rd_loop/factor.py
T
Xisen Wang a2f461cc81 refine core to store experiment results and hypothesis feedback (#55)
* Update proposal.py

Completed The HypothesisFeedback Class.

* refine the core code

---------

Co-authored-by: xuyang1 <xuyang1@microsoft.com>
2024-07-09 17:31:35 +08:00

40 lines
1.3 KiB
Python

"""
TODO: Factor Structure RD-Loop
"""
from dotenv import load_dotenv
load_dotenv(override=True)
from rdagent.app.qlib_rd_loop.conf import PROP_SETTING
from rdagent.core.proposal import (
Hypothesis2Experiment,
HypothesisExperiment2Feedback,
HypothesisGen,
Trace,
)
from rdagent.core.task_generator import TaskGenerator
from rdagent.core.utils import import_class
scen = import_class(PROP_SETTING.qlib_factor_scen)()
hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.qlib_factor_hypothesis_gen)(scen)
hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.qlib_factor_hypothesis2experiment)()
qlib_factor_coder: TaskGenerator = import_class(PROP_SETTING.qlib_factor_coder)(scen)
qlib_factor_runner: TaskGenerator = import_class(PROP_SETTING.qlib_factor_runner)(scen)
qlib_factor_summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.qlib_factor_summarizer)()
trace = Trace(scen=scen)
for _ in range(PROP_SETTING.evolving_n):
hypothesis = hypothesis_gen.gen(trace)
exp = hypothesis2experiment.convert(hypothesis, trace)
exp = qlib_factor_coder.generate(exp)
exp = qlib_factor_runner.generate(exp)
feedback = qlib_factor_summarizer.generateFeedback(exp, hypothesis, trace)
trace.hist.append((hypothesis, exp, feedback))