yaxuan999
efffb2819a
added KRNN and Sandwich models and their example results based on Alpha360 ( #1414 )
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* Update README.md
updated the result of KRNN and Sandwich models based on Alpha360
* Update README.md
* Update README.md
* Add files via upload
* Update README.md
* Update README.md
* Update README.md
* Add files via upload
* Delete pytorch_krnn.py
* Delete pytorch_sandwich.py
* Add files via upload
* Update pytorch_sandwich.py
* Update pytorch_krnn.py
* Update pytorch_sandwich.py
* Update pytorch_krnn.py
* Update README.md
* Update README.md
* Update requirements.txt
* Update requirements.txt
* Update README.md
* Update README.md
* Update pytorch_sandwich.py
* Update link on index
---------
Co-authored-by: Young <afe.young@gmail.com >
2023-05-26 18:42:58 +08:00
Fivele-Li
19a0eb78bc
Fix TCN model input dimension mismatch ( #1520 )
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* transpose dimension 1 and 2 to match nn.Conv1d input
* 1.update TCN benchmarks;
2.Emphasize updating the benchmark table;
* replace specific version with main
---------
Co-authored-by: lijinhui <362237642@qq.com >
2023-05-26 14:44:34 +08:00
Maksim Zayakin
9e22e5168b
Remove unused DNNModelPytorch params ( #1470 )
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* Remove lr_decay and lr_decay_steps params
More flexible way to pass a scheduler (via callable function) is already
supported
* remove lr_decay and lr_decay_steps from mlp workflow configs
2023-04-28 17:48:40 +08:00
Huoran Li
653c082e7a
Order execution open source ( #1447 )
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* Waiting for bin data
* Complete readme
* CI
* Add inst filter by time
* Update qlib/data/dataset/processor.py
* typo
* Fix time filter bug
* Add Filter and set Universe
* Complete data pipeline
* Fix Provider Logger Info Args
* Add DQN; a minor bugfix in ppo reward.
* update readme. modify assertion logic in strategy check.
* Fix Doc issues and fix black
* Fix pylint Error
---------
Co-authored-by: Young <afe.young@gmail.com >
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com >
2023-03-13 12:06:28 +08:00
Cadenza-Li
76f2fb1a1a
Add ipynb format check ( #1439 )
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* Update test_qlib_from_source.yml
* add ipynb format check to workflow
* test ipynb CI
* modify nbqa check path
* add pylint flake8 mypy check to ipynb
* check ipynb with black and pylint
* reformat .ipynb files
* format line length
nbqa black . -l 120
* update nbqa .ipynb format CI
* format old ipynb files
* add nbconvert check to CI
* adjust CI order to avoid repeating download data
2023-02-21 09:23:22 +08:00
Di
7e5bab599a
Add early stopping to double ensemble model, add example ( #1375 )
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* Add early stopping to double ensemble model, add example
* Fix lint error
2022-11-28 14:02:44 +08:00
you-n-g
e762548295
Add docs for the reampling example. ( #1285 )
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* Update features_sample.py
* Update features_sample.py
2022-09-14 18:02:19 +08:00
Jinge Wang
558603beca
Add csi500 benchmark for MLP model. ( #1215 )
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* Add csi500 benchmark for MLP model.
* Update MLP metric for Alpha158 dataset.
Co-authored-by: vincilee <vincilee1994@outlook.com >
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com >
2022-08-05 16:57:40 +08:00
aprilpear
157481abd1
Add Linear model results on dataset=csi500 ( #1210 )
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Co-authored-by: you-n-g <you-n-g@users.noreply.github.com >
2022-08-05 16:53:49 +08:00
huajunzh-msft
9d7a0f032a
Add result of doubleensemble model on CSI500 ( #1201 )
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Co-authored-by: you-n-g <you-n-g@users.noreply.github.com >
2022-08-05 16:50:26 +08:00
Ning Tang
58f9eed3c9
Update LightGBM alpha158 csi500 result ( #1199 )
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* Update the arguments of LightGBModel
* update README table
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com >
2022-08-05 16:45:54 +08:00
lcrun
8f1e28c43f
Add csi500 experiment result to CatBoost ( #1197 )
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Co-authored-by: canl@microsoft.com <canl@microsoft.com >
2022-08-05 16:43:05 +08:00
EricChangMSR
8199822ca0
Update README.md fixed typo ( #1221 )
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Changed a typo from "carefully desgined by" to "carefully designed by"
2022-07-22 09:20:55 +08:00
you-n-g
c65c598bde
Update the math of Metrics ( #1211 )
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* Update the math of Metrics
* Update README.md
* Update README.md
2022-07-18 21:24:56 +08:00
Lewen Wang
d149c2b177
Use average weights in DoubleEnsemble. ( #1205 )
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* Use average weights in DoubleEnsemble.
* Use average weights in DoubleEnsemble.
Co-authored-by: lwwang1995 <lewenwang@msrawsa02.corp.microsoft.com >
2022-07-17 23:02:46 +08:00
you-n-g
78b6b16640
Update README.md
2022-07-08 17:56:59 +08:00
you-n-g
b9bba4940f
Update README.md
2022-07-08 17:56:25 +08:00
you-n-g
82b10ee37a
Update README.md ( #1185 )
2022-07-08 10:15:48 +08:00
you-n-g
58540f76ee
Csi500 example ( #1126 )
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* Stage code
* Update results and scripts
2022-06-15 10:18:13 +08:00
you-n-g
c4281121e3
Update README.md ( #1091 )
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* Update README.md
* Fix typo
2022-05-08 20:19:19 +08:00
you-n-g
9e381493c2
Add instructions to add models ( #1088 )
2022-05-05 21:27:24 +08:00
you-n-g
41447f320b
fix tra dataset bug ( #1050 )
2022-04-15 17:15:44 +08:00
Wentao Xu
87926513cb
Add the HIST and IGMTF model on Alpha360 ( #1040 )
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* Commit the code of HIST and IGMTF on Alpha360
* add stock index
* Update README.md
* delete useless code
* fix the bug of code format with black
* fix pylint bugs
* fix the bugs of pylint
* fix pylint bugs
* fix flake8
2022-04-14 01:45:49 +08:00
you-n-g
d482726f28
Update README.md ( #920 )
2022-02-19 00:46:32 +08:00
you-n-g
60d45ad770
Enhance pytorch nn ( #917 )
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* enhance pytorch_nn
* fix dim bug
* Black format
* Fix pylint error
2022-02-15 19:22:48 +08:00
Young
6a946761cf
Black(new version) Format
2022-02-06 22:33:16 +08:00
dependabot[bot]
d7d19feb4e
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/TabNet ( #898 )
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2022-01-27 11:17:01 +08:00
dependabot[bot]
bba6972a55
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/Transformer ( #897 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-27 11:16:54 +08:00
dependabot[bot]
ba056850cb
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/XGBoost ( #895 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-27 11:16:41 +08:00
you-n-g
aed5b8ebc0
Update Benchmark Docs ( #899 )
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* Update README.md
* Update README.md
* Update README.md
2022-01-27 11:16:24 +08:00
dependabot[bot]
86e1265f69
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/ADARNN ( #870 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:17:25 +08:00
dependabot[bot]
628eb7fa73
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/ADD ( #869 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:17:15 +08:00
dependabot[bot]
2a1b512cd2
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/ALSTM ( #868 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:17:04 +08:00
dependabot[bot]
50e7901e87
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/CatBoost ( #867 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:16:47 +08:00
dependabot[bot]
3ba54cd1ab
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/DoubleEnsemble ( #866 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:16:23 +08:00
dependabot[bot]
483d01f0c1
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/GRU ( #833 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:16:13 +08:00
dependabot[bot]
61836cba3d
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/LightGBM ( #830 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:16:03 +08:00
dependabot[bot]
aeb5e40c77
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/SFM ( #829 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:14:50 +08:00
dependabot[bot]
116f0fa7a7
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/TCTS ( #834 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:13:57 +08:00
dependabot[bot]
5296cce725
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/GATs ( #831 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:13:29 +08:00
dependabot[bot]
292fcc9e98
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/TRA ( #832 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:13:23 +08:00
dependabot[bot]
d3fbf066cf
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/Localformer ( #835 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:13:06 +08:00
dependabot[bot]
52ecb79e0b
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/MLP ( #836 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:12:57 +08:00
dependabot[bot]
59c52eac0a
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/TCN ( #837 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:12:42 +08:00
dependabot[bot]
f455305a2a
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/LSTM ( #838 )
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Bumps [numpy](https://github.com/numpy/numpy ) from 1.17.4 to 1.21.0.
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2022-01-18 22:12:34 +08:00
you-n-g
cf35562e84
DDG-DA paper code ( #743 )
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* Merge data selection to main
* Update trainer for reweighter
* Typos fixed.
* update data selection interface
* successfully run exp after refactor some interface
* data selection share handler & trainer
* fix meta model time series bug
* fix online workflow set_uri bug
* fix set_uri bug
* updawte ds docs and delay trainer bug
* docs
* resume reweighter
* add reweighting result
* fix qlib model import
* make recorder more friendly
* fix experiment workflow bug
* commit for merging master incase of conflictions
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* remove unused code
* asdd more docs
* Update README.md
* Update & fix some bugs.
* Update configuration & remove debug functions
* Update README.md
* Modfify horizon from code rather than yaml
* Update performance in README.md
* fix part comments
* Remove unfinished TCTS.
* Fix some details.
* Update meta docs
* Update README.md of the benchmarks_dynamic
* Update README.md files
* Add README.md to the rolling_benchmark baseline.
* Refine the docs and link
* Rename README.md in benchmarks_dynamic.
* Remove comments.
* auto download data
Co-authored-by: wendili-cs <wendili.academic@qq.com >
Co-authored-by: demon143 <785696300@qq.com >
2022-01-10 16:52:37 +08:00
SunsetWolf
dfc0ed3c01
fix_typo ( #790 )
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Signed-off-by: unknown <lv.linlang@qq.com >
2021-12-31 22:14:47 +08:00
Chao Ning
6bafd0a09b
Reformat example data names: use {region}_data for 1-day data, and {region}_data_1min for 1-min data ( #781 )
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* Fix high-freq data name from `yahoo_cn_1min` to `cn_data_1min`
* re-format example data names using `qlib_{region}_{feq}`, e.g. qlib_cn_1d
* re-format example data names using `{region}_{feq}`, e.g. us_1d and cn_1min
* keep using for 1day data, and change 1min data to
2021-12-28 23:58:49 +08:00
cslwqxx
f9c35284e1
Update README.md
2021-11-23 15:58:32 +08:00
fengcunguang
654033733d
Add A New Baseline: ADD ( #704 )
2021-11-22 18:16:50 +08:00