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Zaktualizuj 'train-mlflow.py'

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This commit is contained in:
Kornelia Girejko 2022-05-15 21:51:35 +02:00
parent 3f679266e0
commit 6e476a06ff
1 changed files with 6 additions and 6 deletions
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train-mlflow.py
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@ -28,8 +28,8 @@ import mlflow.sklearn
from urllib.parse import urlparse
from mlflow.models import infer_signature
mlflow.set_experiment("s478815")
#mlflow.set_tracking_uri("http://172.17.0.1:5000")
mlflow.set_experiment("s-478815")
mlflow.set_tracking_uri("http://172.17.0.1:5000")
# Model
class Model(nn.Module):
@ -104,15 +104,15 @@ def my_main(epochs):
#result.write(f'{y_predicted}')
input_example = np.array([X_testing.numpy()[0]])
siganture = mlflow.models.signature.infer_signature(X_training.detach().numpy(), y_predicted_train.detach().numpy())
siganture = mlflow.models.signature.infer_signature(np.array(X_training), np.array(y_predicted_train))
tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
if tracking_url_type_store != "file":
mlflow.pytorch.log_model(model, "modelM", registered_model_name="s478815", signature=siganture,
mlflow.pytorch.log_model(model, "model", registered_model_name="s-478815", signature=siganture,
input_example=input_example)
else:
mlflow.pytorch.log_model(model, "modelM", signature=siganture, input_example=input_example)
#mlflow.pytorch.save_model(model, "modelM", signature=siganture, input_example=input_example)
mlflow.pytorch.log_model(model, "model", signature=siganture, input_example=input_example)
mlflow.pytorch.save_model(model, "modelM", signature=siganture, input_example=input_example)
rmse = mean_squared_error(y_testing, y_predicted)
#print(rmse)