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docs: refine the README (#244)
* init a scenario for kaggle feature engineering * update the readme * Delete rdagent/app/kaggle_feature/conf.py * update some pictures * Delete rdagent/app/kaggle_feature/model.py * change a photo * add pics to docs * update the readme * update the README * for a try * for another try * change the style of the pictures in readme * fix a small bug * update the readme and the docs * update the docs * fix a typo * change a website url * change some styles * fix a typo * change the size of the logo * change two urls * Update README.md * Update README.md * Update README.md * Update README.md --------- Co-authored-by: Linlang <Lv.Linlang@hotmail.com>
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@@ -110,7 +110,7 @@ class FactorReportLoop(FactorRDLoop, metaclass=LoopMeta):
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open(FACTOR_FROM_REPORT_PROP_SETTING.report_result_json_file_path, "r")
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)
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else:
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self.judge_pdf_data_items = Path(report_folder).rglob("*.pdf")
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self.judge_pdf_data_items = [i for i in Path(report_folder).rglob("*.pdf")]
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self.pdf_file_index = 0
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self.valid_pdf_file_count = 0
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@@ -146,21 +146,22 @@ class FactorReportLoop(FactorRDLoop, metaclass=LoopMeta):
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return self.current_loop_exp
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def main(path=None, step_n=None):
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def main(report_folder=None, path=None, step_n=None):
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"""
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Auto R&D Evolving loop for fintech factors (the factors are extracted from finance report).
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You can continue running session by
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.. code-block:: python
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dotenv run -- python rdagent/app/qlib_rd_loop/factor_from_report.py $LOG_PATH/__session__/1/0_propose --step_n 1 # `step_n` is a optional parameter
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Auto R&D Evolving loop for fintech factors (the factors are extracted from finance reports).
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Args:
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report_folder (str, optional): The folder contains the report PDF files. Reports will be loaded from this folder.
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path (str, optional): The path for loading a session. If provided, the session will be loaded.
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step_n (int, optional): Step number to continue running a session.
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"""
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if path is None:
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model_loop = FactorReportLoop(FACTOR_FROM_REPORT_PROP_SETTING)
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else:
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if path is None and report_folder is None:
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model_loop = FactorReportLoop()
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elif path is not None:
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model_loop = FactorReportLoop.load(path)
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else:
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model_loop = FactorReportLoop(report_folder=report_folder)
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model_loop.run(step_n=step_n)
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@@ -586,7 +586,7 @@ class TraceWindow(StWindow):
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self.show_llm = show_llm
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self.show_common_logs = show_common_logs
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image_c, scen_c = container.columns([2, 3], vertical_alignment="center")
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image_c.image("scen.jpg")
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image_c.image("scen.png")
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scen_c.container(border=True).markdown(QlibModelScenario().rich_style_description)
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top_container = container.container()
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col1, col2 = top_container.columns([2, 3])
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