s444417/ium_444417
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

add uri
Some checks failed
s444417-training/pipeline/head There was a failure building this commit
Details

Browse Source
This commit is contained in:
s444417 2022-05-14 12:12:20 +02:00
parent 8479ef553b
commit e1827f7ddd
3 changed files with 16 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
Jenkinsfile3
View File

@ -33,6 +33,11 @@ pipeline {
build job: 's444417-evaluation/master', wait: false
}
}
stage('Archive mlflow') {
steps {
sh 'cd ./lab8'
}
}
}
options {
copyArtifactPermission('s444417-evaluation');

18
lab8/trainScript.py
View File

@ -10,7 +10,7 @@ import mlflow.keras
from urllib.parse import urlparse
# mlflow.set_tracking_uri('http://localhost:5000')
mlflow.set_tracking_uri("http://172.17.0.1:5000")
mlflow.set_experiment('s444417')
# train params
@ -108,14 +108,14 @@ def train():
mlflow.log_param('learning rate', learning_rate)
mlflow.log_metric('val loss', min(hist["val_loss"]))
# signature = mlflow.models.signature.infer_signature(house_price_features, linear_model.predict(house_price_features))
#
# tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
#
# if tracking_url_type_store != "file":
# mlflow.keras.log_model(linear_model, "linear-model", registered_model_name="HousePriceLinear", signature=signature)
# else:
# mlflow.keras.log_model(linear_model, "model", signature=signature)
signature = mlflow.models.signature.infer_signature(house_price_features, linear_model.predict(house_price_features))
tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
if tracking_url_type_store != "file":
mlflow.keras.log_model(linear_model, "linear-model", registered_model_name="HousePriceLinear", signature=signature)
else:
mlflow.keras.log_model(linear_model, "model", signature=signature)
if __name__ == '__main__':
train()

4
result.txt
View File

@ -1,2 +1,2 @@
predictions: [157.08437, 4.671051, 190.45694, 126.68617, 96.37216, 134.32784, 154.44032, -19.104736, 80.28882, 100.09464]
expected: [110. 25.2 60. 70. 100. 110. 520. 18. 77. 32. ]
predictions: [188.40611, 79.26458, 79.07924, 79.702156, 249.17542, -1.7695923, 54.21414, 78.15069, 114.4659, 248.62257]
expected: [ 74. 140. 35. 42. 260. 15. 25. 190. 40. 200.]