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save ml model, copy artifacts from branch
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Adam Wojdyla 2022-05-01 18:18:18 +02:00
parent 1b7a420477
commit 886991d7a3
2 changed files with 5 additions and 5 deletions
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4
Jenkinsfile_stats
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@ -5,7 +5,7 @@ pipeline {
stages { stages {
stage('Get arifacts') { stage('Get arifacts') {
steps { steps {
copyArtifacts fingerprintArtifacts: true, projectName: 's444507-create-dataset', selector: lastSuccessful() copyArtifacts fingerprintArtifacts: true, projectName: 's444507-create-dataset/master/', selector: lastSuccessful()
} }
} }
stage('Show stats') { stage('Show stats') {
@ -17,7 +17,7 @@ pipeline {
} }
post { post {
success { success {
archiveArtifacts artifacts: 'Car_Prices_Poland_Kaggle*, prediction_results.csv', followSymlinks: false archiveArtifacts artifacts: 'Car_Prices_Poland_Kaggle*, prediction_results.csv, CarPrices_pytorch_model.pkl', followSymlinks: false
} }
} }
} }

6
lab05_deepLearning.py
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@ -109,10 +109,10 @@ print("The accuracy is", accuracy_score(labels_test, np.argmax(pred, axis=1)))
# print(labels_test[0]) # print(labels_test[0])
print("Saving model to file...") print("Saving model to file...")
torch.save(model, "CarPrices_pytorch.pkl") torch.save(model, "CarPrices_pytorch_model.pkl")
print("Model saved with name: CarPrices_pytorch.pkl") print("Model saved with name: CarPrices_pytorch_model.pkl")
saved_model = torch.load("CarPrices_pytorch.pkl") saved_model = torch.load("CarPrices_pytorch_model.pkl")
print(np.argmax(saved_model(x_test[0]).detach().numpy(), axis=0)) print(np.argmax(saved_model(x_test[0]).detach().numpy(), axis=0))
pd_predictions = pd.DataFrame(pred) pd_predictions = pd.DataFrame(pred)