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Zaktualizuj 'train-mlflow.py'

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This commit is contained in:
Kornelia Girejko 2022-05-17 21:28:09 +02:00
parent d703a9eec2
commit 3914f6e091
1 changed files with 10 additions and 10 deletions
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train-mlflow.py
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@ -30,7 +30,7 @@ from urllib.parse import urlparse
from mlflow.models import infer_signature from mlflow.models import infer_signature
mlflow.set_experiment("478815") mlflow.set_experiment("478815")
#mlflow.set_tracking_uri("http://172.17.0.1:5000") mlflow.set_tracking_uri("http://172.17.0.1:5000")
# Model # Model
class Model(nn.Module): class Model(nn.Module):
@ -106,16 +106,16 @@ def my_main(epochs):
print(np.array(X_testing[0])) print(np.array(X_testing[0]))
#input_example = np.array(X_testing[0]) input_example = np.array(X_testing[0])
#siganture = mlflow.models.signature.infer_signature(np.array(X_training), np.array(y_predicted_train)) 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 tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
#if tracking_url_type_store != "file": if tracking_url_type_store != "file":
# mlflow.pytorch.log_model(model, "model_new", registered_model_name="478815", signature=siganture, mlflow.pytorch.log_model(model, "model_new", registered_model_name="478815", signature=siganture,
# input_example=input_example) input_example=input_example)
#else: else:
# mlflow.pytorch.log_model(model, "model_new", signature=siganture, input_example=input_example) mlflow.pytorch.log_model(model, "model_new", signature=siganture, input_example=input_example)
#mlflow.pytorch.save_model(model, "model_new", signature=siganture, input_example=input_example) mlflow.pytorch.save_model(model, "model_new", signature=siganture, input_example=input_example)
rmse = mean_squared_error(y_testing, y_predicted) rmse = mean_squared_error(y_testing, y_predicted)
#print(rmse) #print(rmse)