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520206ef22
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13
Jenkinsfile
vendored
13
Jenkinsfile
vendored
@ -17,6 +17,7 @@ pipeline {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 'z-s464914-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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copyArtifacts filter: '*', projectName: 's464914-training/experiments/', selector: buildParameter('BUILD_SELECTOR')
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copyArtifacts filter: '*', projectName: 's464914-evaluation/evaluation/', selector: buildParameter('BUILD_SELECTOR'), optional: true
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}
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}
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stage('Prediction') {
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@ -41,5 +42,17 @@ pipeline {
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}
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}
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}
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stage('Plot Accuracy') {
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steps {
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script {
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def customImage = docker.build("custom-image")
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customImage.inside {
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sh 'python3 ./plot.py'
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archiveArtifacts artifacts: 'accuracy.png', onlyIfSuccessful: true
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}
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}
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}
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}
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}
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}
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@ -18,8 +18,7 @@ rmse = np.sqrt(mean_squared_error(true_labels, predicted_labels))
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with open(r'metrics.txt', 'a') as fp:
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fp.write(f"Accuracy: {accuracy}\n")
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fp.write(f"Micro-average Precision: {precision_micro}\n")
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fp.write(f"Micro-average Recall: {recall_micro}\n")
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fp.write(f"Micro-average F1-score: {f1_micro}\n")
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fp.write(f"RMSE: {rmse}\n")
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fp.write("--------------------\n")
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fp.write(f"Precision: {precision_micro}\n")
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fp.write(f"Recall: {recall_micro}\n")
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fp.write(f"F1-score: {f1_micro}\n")
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fp.write(f"RMSE: {rmse}\n")
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21
plot.py
Normal file
21
plot.py
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@ -0,0 +1,21 @@
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import matplotlib.pyplot as plt
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import numpy as np
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accuracy = []
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f = open("metrics.txt", "r")
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for line in f:
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parts = line.strip().split(' ')
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if(parts[0] == 'Accuracy:'):
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accuracy.append(float(parts[1]))
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y_values = np.arange(1, len(accuracy) + 1)
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plt.plot(y_values, accuracy, marker='o', linestyle='-', color='b')
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plt.xlabel('Build Number')
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plt.ylabel('Accuracy')
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plt.title('Accuracy Plot')
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plt.grid(True)
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plt.show()
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plt.savefig('accuracy.png')
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