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3 Commits

Author SHA1 Message Date
you-n-g
42cda0a3b1 chore(main): release 0.9.8 2025-11-13 11:52:38 +08:00
Linlang
2b41782f0c fix(gbdt): correct dtrain assignment in finetune() to use Dataset instead of tuple (#2049) 2025-11-13 11:50:43 +08:00
Ronny Pfannschmidt
ac3fe9476f chore(build): rely on integrated setuptools_scm instead of manual call (#2032)
* dont manually call setuptools_scm - its integrated

setuptools_scm automatically set the version attribute - manually setting it wrong

* fix(docs): set fallback version for setuptools-scm to fix autodoc import errors on Read the Docs

---------

Co-authored-by: SunsetWolf <Lv.Linlang@hotmail.com>
2025-11-10 18:25:04 +08:00
6 changed files with 13 additions and 16 deletions

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@@ -1,11 +1,12 @@
# Changelog
## [0.9.8](https://github.com/microsoft/qlib/compare/v0.9.7...v0.9.8) (2025-11-06)
## [0.9.8](https://github.com/microsoft/qlib/compare/v0.9.7...v0.9.8) (2025-11-13)
### Bug Fixes
* download orderbook data error ([#1990](https://github.com/microsoft/qlib/issues/1990)) ([136b2dd](https://github.com/microsoft/qlib/commit/136b2ddf9a16e4106d62b8d1336a56273a8abef0))
* **gbdt:** correct dtrain assignment in finetune() to use Dataset instead of tuple ([#2049](https://github.com/microsoft/qlib/issues/2049)) ([2b41782](https://github.com/microsoft/qlib/commit/2b41782f0cfb81e8cc065f2915b215758a7838ef))
* **macd:** remove extra division by close in DEA calculation to ensure dimension consistency ([#2046](https://github.com/microsoft/qlib/issues/2046)) ([66c3622](https://github.com/microsoft/qlib/commit/66c36226aafceabe497e5967f67921e5d3c9d497))
* replace deprecated pandas fillna(method=) with ffill()/bfill() ([#1987](https://github.com/microsoft/qlib/issues/1987)) ([7095e75](https://github.com/microsoft/qlib/commit/7095e755fa57e011f0483d24b45fc5bd5a4deaf8))
* spelling errors ([#1996](https://github.com/microsoft/qlib/issues/1996)) ([f26b341](https://github.com/microsoft/qlib/commit/f26b3417363410531dbbb39e425bce6cf05528a1))

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@@ -113,7 +113,7 @@ dev: prerequisite all
# Check lint with black.
black:
black . -l 120 --check --diff
black . -l 120 --check --diff --exclude qlib/_version.py
# Check code folder with pylint.
# TODO: These problems we will solve in the future. Important among them are: W0221, W0223, W0237, E1102

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@@ -117,3 +117,4 @@ qrun = "qlib.cli.run:run"
[tool.setuptools_scm]
local_scheme = "no-local-version"
version_scheme = "guess-next-dev"
write_to = "qlib/_version.py"

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@@ -4,7 +4,10 @@ from pathlib import Path
from setuptools_scm import get_version
__version__ = get_version(root="..", relative_to=__file__)
try:
from ._version import version as __version__
except ImportError:
__version__ = get_version(root="..", relative_to=__file__)
__version__bak = __version__ # This version is backup for QlibConfig.reset_qlib_version
import logging
import os

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@@ -51,7 +51,7 @@ class LGBModel(ModelFT, LightGBMFInt):
w = reweighter.reweight(df)
else:
raise ValueError("Unsupported reweighter type.")
ds_l.append((lgb.Dataset(x.values, label=y, weight=w), key))
ds_l.append((lgb.Dataset(x.values, label=y, weight=w, free_raw_data=False), key))
return ds_l
def fit(
@@ -109,8 +109,10 @@ class LGBModel(ModelFT, LightGBMFInt):
verbose level
"""
# Based on existing model and finetune by train more rounds
dtrain, _ = self._prepare_data(dataset, reweighter) # pylint: disable=W0632
if dtrain.empty:
ds_l = self._prepare_data(dataset, reweighter)
dtrain, _ = ds_l[0]
if dtrain.construct().num_data() == 0:
raise ValueError("Empty data from dataset, please check your dataset config.")
verbose_eval_callback = lgb.log_evaluation(period=verbose_eval)
self.model = lgb.train(

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@@ -2,22 +2,12 @@ import os
import numpy
from setuptools import Extension, setup
from setuptools_scm import get_version
def read(rel_path: str) -> str:
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, rel_path), encoding="utf-8") as fp:
return fp.read()
NUMPY_INCLUDE = numpy.get_include()
VERSION = get_version(root=".", relative_to=__file__)
setup(
version=VERSION,
ext_modules=[
Extension(
"qlib.data._libs.rolling",