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pipeline {
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pipeline {
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agent {dockerfile true}
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agent {image 'adnovac/ium_s434760:1.2'}
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parameters{
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parameters{
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buildSelector(
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buildSelector(
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defaultSelector: lastSuccessful(),
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defaultSelector: lastSuccessful(),
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@ -3,14 +3,10 @@ from tensorflow.keras.layers import Dense
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from sklearn.metrics import accuracy_score, classification_report
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from sklearn.metrics import accuracy_score, classification_report
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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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import wget
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import numpy as np
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import numpy as np
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import os
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import os
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url = 'https://git.wmi.amu.edu.pl/s434788/ium_434788/raw/branch/master/winequality-red.csv'
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wine=pd.read_csv('train.csv')
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wget.download(url, out='winequality-red.csv', bar=None)
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wine=pd.read_csv('winequality-red.csv')
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wine
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wine
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y = wine.quality
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y = wine.quality
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kaggle==1.5.12
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pandas
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pandas
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numpy
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numpy==1.19.2
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sklearn
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sklearn
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tensorflow
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tensorflow==2.4.1
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wget
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jinja2==2.11.3
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matplotlib
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wget
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