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.idea/workspace.xml

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Dockerfile

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FROM python:3.9-slim
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COPY . /docker_app
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WORKDIR /docker_app
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RUN pip install -r requirement.txt
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RUN pip install -r requirements.txt
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RUN apt-get update && apt-get install -y wget unzip vim git
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RUN git clone https://github.com/tanmoyie/Bayesian-Inference-Modeling.git
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EXPOSE 8501
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ENTRYPOINT ["streamlit", "run", "BIMReTA_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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# CMD ["BIMReTA_app.py"]
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# Reference https://docs.streamlit.io/deploy/tutorials/docker#check-network-port-accessibility

requirement.txt

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requirements.txt

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joblib==1.2.0
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lime==0.2.0.1
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matplotlib==3.8.0
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numpy==1.25.2
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openpyxl==3.1.2
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pandas==2.0.3
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plotly==5.9.0
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scikit_learn==1.2.2
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seaborn==0.13.2
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streamlit==1.32.2
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torch==2.2.0.post100
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tqdm==4.66.2
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tqdm==4.65.0
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xlwings==0.29.1

src/3.0-reduced-model.py

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# Performance metrics
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import joblib
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from sklearn import metrics
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# pip install pipreqs pipreqs>requirements.txt
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print(joblib.__version__)
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# in terminal ... pip install pipreqnb , then run pipreqnb
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# %%
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data = pd.read_excel('../data/processed/cleaned_data.xlsx', index_col='Scene no.').copy()
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print(data.columns)

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