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@ -16,9 +16,6 @@ pipeline {
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stage('Script'){
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steps {
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copyArtifacts filter: '*', projectName: 's444018-create-dataset'
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sh 'cd biblioteka_DL'
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sh 'ls -la'
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sh 'cd ..'
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sh 'python3 ./biblioteka_DL/dllib.py $EPOCHS'
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archiveArtifacts artifacts: 'model.pkl', followSymlinks: false
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}
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@ -56,7 +56,7 @@ def normalize_gross(imbd_data):
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def prepare_dataset():
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df = pd.read_csv('imdb_top_1000.csv')
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df = pd.read_csv('biblioteka_DL/imdb_top_1000.csv')
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df = drop_relevant_columns(df)
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df_lowercase = lowercase_columns_names(df)
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df = data_to_numeric(df_lowercase)
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