gavindiaz/NexQuant
1
0
Fork 0
mirror of https://github.com/NicolasBohn/NexQuant.git synced 2026-08-03 02:17:43 +00:00
Code Issues Packages Projects Releases Wiki Activity

CI checks that can be automatically repaired (#119)

Browse Source 
* fix isort & black & toml-sort & sphinx error

* fix ci error

* fix ci error

* add comments

* Update Makefile

* change sphinx build command

* add auto-lint

* add black args

* format with black

* Auto Linting document

* fix ci error

---------

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: Young <afe.young@gmail.com>
This commit is contained in:
Linlang
2024-07-26 12:12:16 +08:00
committed by GitHub
parent 45b7a169fe
commit c7cfd397ca
56 changed files with 604 additions and 475 deletions
Download Patch File Download Diff File Expand all files Collapse all files
rdagent/app/quant_factor_benchmark/eval.py
+9 -12
View File
@@ -1,23 +1,20 @@
import os
from pathlib import Path
import pickle
import time
from pathlib import Path
from pprint import pprint
from rdagent.app.qlib_rd_loop.conf import PROP_SETTING
from rdagent.components.benchmark.conf import BenchmarkSettings
from rdagent.components.benchmark.eval_method import FactorImplementEval
from rdagent.core.scenario import Scenario
from rdagent.core.utils import import_class
from rdagent.log import rdagent_logger as logger
from rdagent.scenarios.qlib.experiment.factor_experiment import QlibFactorScenario
from rdagent.scenarios.qlib.factor_experiment_loader.json_loader import (
FactorTestCaseLoaderFromJsonFile,
)
from rdagent.components.benchmark.conf import BenchmarkSettings
from rdagent.components.benchmark.eval_method import FactorImplementEval
from rdagent.core.utils import import_class
from rdagent.core.utils import import_class
from rdagent.core.scenario import Scenario
from rdagent.scenarios.qlib.experiment.factor_experiment import QlibFactorScenario
from pprint import pprint
# 1.read the settings
bs = BenchmarkSettings()
@@ -28,7 +25,7 @@ test_cases = FactorTestCaseLoaderFromJsonFile().load(bs.bench_data_path)
scen: Scenario = import_class(PROP_SETTING.factor_scen)()
generate_method = import_class(bs.bench_method_cls)(scen=scen)
# 4.declare the eval method and pass the arguments.
eval_method = FactorImplementEval(
method=generate_method,