Change training model params
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@ -4,7 +4,8 @@ pipeline {
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}
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}
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parameters {
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parameters {
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gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH'
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gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH'
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string(name: 'options', description: 'Trainig script options')
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string(name: 'epochs', description: 'Model epochs')
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string(name: 'verbose', description: 'Model verbose')
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buildSelector(defaultSelector: lastSuccessful(), description: 'Use latest build', name: 'BUILD_SELECTOR')
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buildSelector(defaultSelector: lastSuccessful(), description: 'Use latest build', name: 'BUILD_SELECTOR')
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}
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}
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stages {
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stages {
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@ -15,7 +16,7 @@ pipeline {
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}
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}
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stage("Run training"){
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stage("Run training"){
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steps {
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steps {
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sh "python3 training.py ${params.options}"
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sh "python3 training.py ${params.verbose}" ${params.epochs}"
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}
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}
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}
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}
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stage('Save trained model files') {
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stage('Save trained model files') {
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@ -11,9 +11,8 @@ from tensorflow.keras.layers.experimental import preprocessing
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arguments = sys.argv[1:]
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arguments = sys.argv[1:]
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verbose = [command.split('=')[1] for command in arguments if command.split('=')[0] == 'verbose']
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verbose = arguments[0]
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epochs = [command.split('=')[1] for command in arguments if command.split('=')[0] == 'epochs']
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epochs = arguments[1]
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pd.set_option("display.max_columns", None)
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pd.set_option("display.max_columns", None)
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