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@ -10,9 +10,10 @@ RUN pip3 install matplotlib
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RUN pip3 install sklearn
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RUN pip3 install sklearn
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RUN apt-get install unzip
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RUN apt-get install unzip
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ENV CUTOFF=1000
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ARG CUTOFF
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ARG KAGGLE_USERNAME
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ARG KAGGLE_USERNAME
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ARG KAGGLE_KEY
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ARG KAGGLE_KEY
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ENV CUTOFF=${CUTOFF}
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ENV KAGGLE_USERNAME=${KAGGLE_USERNAME}
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ENV KAGGLE_USERNAME=${KAGGLE_USERNAME}
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ENV KAGGLE_KEY=${KAGGLE_KEY}
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ENV KAGGLE_KEY=${KAGGLE_KEY}
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@ -1,7 +1,7 @@
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pipeline {
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pipeline {
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agent {
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agent {
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dockerfile {
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dockerfile {
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additionalBuildArgs "--build-arg KAGGLE_USERNAME=${params.KAGGLE_USERNAME} --build-arg KAGGLE_KEY=${params.KAGGLE_KEY}"
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additionalBuildArgs "--build-arg KAGGLE_USERNAME=${params.KAGGLE_USERNAME} --build-arg KAGGLE_KEY=${params.KAGGLE_KEY} --build-arg CUTOFF=${params.CUTOFF}"
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}
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}
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}
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}
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parameters {
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parameters {
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@ -8,7 +8,7 @@ dataset_operation() {
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head -n $len2 all_games.csv.shuf > all_games.csv.test
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head -n $len2 all_games.csv.shuf > all_games.csv.test
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head -n $len3 all_games.csv.shuf | tail -n $len2 > all_games.csv.dev
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head -n $len3 all_games.csv.shuf | tail -n $len2 > all_games.csv.dev
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tail -n +$len4 all_games.csv.shuf > all_games.csv.train
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tail -n +$len4 all_games.csv.shuf > all_games.csv.train
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cp all_games.csv /dane/all_games.csv
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cp all_games.csv.shuf /dane/all_games.csv
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wc -l all_games.csv.*
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wc -l all_games.csv.*
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}
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}
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