Create dataset
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vendored
@ -23,13 +23,11 @@ pipeline {
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stage('Download dataset') {
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steps {
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checkout scm
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dir ('./createDataset') {
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sh 'ls -l'
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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sh 'kaggle datasets download -d elakiricoder/gender-classification-dataset'
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sh 'unzip -o gender-classification-dataset.zip'
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}
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sh 'ls -l'
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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sh 'kaggle datasets download -d elakiricoder/gender-classification-dataset'
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sh 'unzip -o gender-classification-dataset.zip'
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}
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}
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}
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@ -38,14 +36,12 @@ pipeline {
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script {
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def dockerImage = docker.build("docker-image", "./")
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dockerImage.inside {
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sh 'ls -l'
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dir ('./createDataset') {
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sh 'ls -l'
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sh 'ls -l'
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sh 'python3 createDataset.py'
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archiveArtifacts 'gender_classification_train.csv'
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archiveArtifacts 'gender_classification_test.csv'
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archiveArtifacts 'gender_classification_val.csv'
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}
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sh 'ls -l'
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}
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}
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