added Jenkinsfile_train and model saving
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Jenkisfile_train
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35
Jenkisfile_train
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pipeline {
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agent {dockerfile true}
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parameters {
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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name: 'BUILD_SELECTOR'
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)
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}
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stages {
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stage('copyArtifacts') {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 's434804-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage('training') {
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steps {
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sh 'chmod +x tensor.py'
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sh 'python tensor.py'
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}
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}
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stage('archiveArtifacts') {
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steps{
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archiveArtifacts 'vaccines_model/saved_model.pb'
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}
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}
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stage('sendMail') {
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steps{
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emailext body: currentBuild.result ?: 'TRAINING SUCCESS',
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subject: 's434804',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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}
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}
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@ -2,6 +2,7 @@ import numpy as np
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import pandas as pd
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import pandas as pd
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import tensorflow as tf
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import tensorflow as tf
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import sys
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import sys
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import wget
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from tensorflow import keras
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from tensorflow import keras
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from sklearn.metrics import r2_score, mean_squared_error
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from sklearn.metrics import r2_score, mean_squared_error
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from math import sqrt
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from math import sqrt
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@ -39,4 +40,5 @@ model.fit(X_train, y_train, epochs=50, validation_split = 0.3)
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prediction = model.predict(X_test)
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prediction = model.predict(X_test)
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print(prediction)
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print(prediction)
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sys.stdout.close()
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sys.stdout.close()
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model.save('vaccines_model')
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