Add Qlib highfreq doc & Update DatatSet Init Method #257
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you-n-g
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Feb 4, 2021
docs/advanced/serial.rst
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| Serializable Class | ||
| ======================== | ||
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| ``Qlib`` provides a base class ``qlib.utils.serial.Serializable``, whose state can be dumped in or loaded from disk in `pickle` format. |
docs/advanced/serial.rst
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| ======================== | ||
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| ``Qlib`` provides a base class ``qlib.utils.serial.Serializable``, whose state can be dumped in or loaded from disk in `pickle` format. | ||
| When users dump the state of the ``Serializable`` instance, the attributes of the instance whose name **does not** start with `_` will be saved on the disk. |
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Aug 16, 2025
* fix_dotenv_error * format with isort * Update rdagent/app/cli.py --------- Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
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* Init todo * Evaluation & dataset * Generate new data * dataset generation * add the result * Analysis * Factor update * Updates * Reformat analysis.py * CI fix * Revised Preprocessing & Supported Random Forest * Revised to support three models with feature * Further revised prompts * Slight Revision * docs: update contributors (microsoft#230) * Revised to support three models with feature * Further revised prompts * Slight Revision * feat: kaggle model and feature (microsoft#238) * update first version code * make hypothesis_gen and experiment_builder fit for both feature and model * feat: continue kaggle feature and model coder (microsoft#239) * use qlib docker to run qlib models * feature coder ready * model coder ready * fix CI * finish the first round of runner (microsoft#240) * Optimized the factor scenario and added the front-end. * fix a small bug * fix a typo * update the kaggle scenario * delete model_template folder * use experiment to run data preprocess script * add source data to scenarios * minor fix * minor bug fix * train.py debug * fixed a bug in train.py and added some TODOs * For Debugging * fix two small bugs in based_exp * fix some bugs * update preprocess * fix a bug in preprocess * fix a bug in train.py * reformat * Follow-up * fix a bug in train.py * fix a bug in workspace * fix a bug in feature duplication * fix a bug in feedback * fix a bug in preprocessed data * fix a bug om feature engineering * fix a ci error * Debugged & Connected * Fixed error on feedback & added other fixes * fix CI errors * fix a CI bug * fix: fix_dotenv_error (microsoft#257) * fix_dotenv_error * format with isort * Update rdagent/app/cli.py --------- Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> * chore(main): release 0.2.1 (microsoft#249) Release-As: 0.2.1 * init a scenario for kaggle feature engineering * delete error codes * Delete rdagent/app/kaggle_feature/conf.py --------- Co-authored-by: Young <afe.young@gmail.com> Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com> Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> Co-authored-by: cyncyw <47289405+taozhiwang@users.noreply.github.com> Co-authored-by: Xisen-Wang <xisen_application@163.com> Co-authored-by: Haotian Chen <113661982+Hytn@users.noreply.github.com> Co-authored-by: WinstonLiye <1957922024@qq.com> Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com> Co-authored-by: Linlang <30293408+SunsetWolf@users.noreply.github.com>
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Description
Add Qlib highfreq doc & Update DatatSet Init Method
Motivation and Context
How Has This Been Tested?
pytest qlib/tests/test_all_pipeline.pyunder upper directory ofqlib.Screenshots of Test Results (if appropriate):
Types of changes