23 lines
790 B
Docker
23 lines
790 B
Docker
|
FROM ubuntu:latest
|
||
|
|
# Install required dependencies
|
||
|
|
RUN apt update
|
||
|
|
RUN apt-get update
|
||
|
|
RUN apt install -y figlet
|
||
|
|
RUN export PATH=”$PATH:/usr/local/bin/python”
|
||
|
|
RUN apt install python3-pip -y
|
||
|
|
RUN apt install unzip -y
|
||
|
|
RUN pip3 install kaggle
|
||
|
|
RUN pip3 install pandas
|
||
|
|
RUN pip3 install scikit-learn
|
||
|
|
RUN pip3 install matplotlib
|
||
|
|
RUN mkdir ~/.kaggle/
|
||
|
|
RUN echo '{"username":"riraasaa","key":"1b1376b538ecd7da9e79b94d218ae3ec"}' > ~/.kaggle/kaggle.json
|
||
|
|
# Create app directory in image
|
||
|
|
WORKDIR /app
|
||
|
|
# Copy init dataset script to /app directory in image
|
||
|
|
COPY ./data_processing.py ./
|
||
|
|
# Download kaggle dataset
|
||
|
|
RUN kaggle datasets download -d uciml/red-wine-quality-cortez-et-al-2009
|
||
|
|
RUN unzip -o red-wine-quality-cortez-et-al-2009.zip
|
||
|
|
# Script executed after docker run
|
||
|
|
CMD python3 ./data_processing.py
|