add stats
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19
get_stats.py
Normal file
19
get_stats.py
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import pandas as pd
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meteorite_train = pd.read_csv('meteorite_train.csv')
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meteorite_test = pd.read_csv('meteorite_test.csv')
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meteorite_val = pd.read_csv('meteorite_val.csv')
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with open('stats.txt', 'w') as f:
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f.write(f"Wielkość treningowego zbioru:\n {meteorite_train.shape}\n")
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f.write(f"Wielkość testowego zbioru:\n {meteorite_test.shape}\n")
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f.write(f"Wielkość walidacyjnego zbioru:\n {meteorite_val.shape}\n")
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f.write(f"\nZbiór Treningowy:\n")
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f.write(f"{meteorite_train.describe()}\n")
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f.write(f"\nZbiór Testowy:\n")
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f.write(f"{meteorite_test.describe()}\n")
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f.write(f"\nZbiór walidacyjny:\n")
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f.write(f"{meteorite_val.describe()}\n")
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8
stats/Jenkinsfile
vendored
8
stats/Jenkinsfile
vendored
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pipeline {
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pipeline {
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agent any
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agent {
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docker {
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image 'aliszu1/ium:1.0'
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}
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}
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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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@ -15,7 +19,7 @@ pipeline {
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}
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}
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stage('Build') {
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stage('Build') {
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steps {
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steps {
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sh "bash ./stats/stats_dataset.sh"
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sh "python ./get_stats.py"
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archiveArtifacts artifacts: 'artifacts/*', onlyIfSuccessful: true
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archiveArtifacts artifacts: 'artifacts/*', onlyIfSuccessful: true
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}
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}
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}
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}
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