IUM_7
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import pandas as pd
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import pandas as pd
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from sklearn.model_selection import train_test_split
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from sklearn.model_selection import train_test_split
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data = pd.read_csv('data/beer_reviews.csv')
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data = pd.read_csv('beer_reviews.csv')
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train_data, test_data = train_test_split(data, test_size=0.2, random_state=42)
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train_data, test_data = train_test_split(data, test_size=0.2, random_state=42)
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2
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vendored
2
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vendored
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sh 'chmod +x sacred/sacred_training_model.py'
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sh 'chmod +x sacred/sacred_training_model.py'
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sh 'python3 sacred/sacred_training_model.py'
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sh 'python3 sacred/sacred_training_model.py'
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}
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}
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}
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}
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stage('Archive Artifacts from Experiments') {
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stage('Archive Artifacts from Experiments') {
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steps {
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steps {
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