mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-28 07:57:44 +00:00
Xu Yang
68d47e1f1f
* 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 (#230) * Revised to support three models with feature * Further revised prompts * Slight Revision * feat: kaggle model and feature (#238) * update first version code * make hypothesis_gen and experiment_builder fit for both feature and model * feat: continue kaggle feature and model coder (#239) * use qlib docker to run qlib models * feature coder ready * model coder ready * fix CI * finish the first round of runner (#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 (#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 (#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>
73 lines
1.1 KiB
Plaintext
73 lines
1.1 KiB
Plaintext
# Requirements for runtime.
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pydantic-settings
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typer[all]
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cython
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scipy
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python-Levenshtein
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scikit-learn
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filelock
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loguru-mypy
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loguru
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fire
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fuzzywuzzy
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openai
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ruamel-yaml
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torch
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torch_geometric
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tabulate # Convert pandas dataframe to markdown table to make it more readable to LLM
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numpy # we use numpy as default data format. So we have to install numpy
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pandas # we use pandas as default data format. So we have to install pandas
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pandarallel # parallelize pandas
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feedparser
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matplotlib
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langchain
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langchain-community
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tiktoken
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pymupdf # Extract shotsreens from pdf
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# azure identity related
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azure-identity
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# PDF related
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pypdf
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azure-core
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azure-ai-formrecognizer
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# TODO: dependencies for implementing factors.
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# I think it is for running insteading of implementing. The dependency should be in
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statsmodels
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# factor implementations
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tables
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# CI Fix Tool
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tree-sitter-python
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tree-sitter
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# Jupyter related
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jupyter
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python-dotenv
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# infrastructure related.
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docker
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# demo related
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streamlit
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plotly
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st-theme
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# kaggle crawler
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selenium
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kaggle
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# tool
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seaborn
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setuptools-scm
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# This is a temporary package installed to pass the test_import test
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xgboost
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lightgbm
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