ium_434788/Zadanie_09_MLflow_Predict_Registry.py
Dominik Strzako 1eacefde73 fsdfsfd
2021-05-27 12:50:10 +02:00

24 lines
611 B
Python

from mlflow.tracking import MlflowClient
import mlflow
import pandas as pd
mlflow.set_tracking_uri("http://172.17.0.1:5000")
client = MlflowClient()
version = 3
model_name = "s434695"
for mv in client.search_model_versions(f"name='{model_name}'"):
if int(mv.version) > version:
version = int(mv.version)
print(f"selected version {version}")
print(f"I will search for URI: models:/{model_name}/{version}")
model = mlflow.keras.load_model(
model_uri=f"models:/{model_name}/{version}"
)
data = pd.read_json('my_model/input_example.json', orient='split')
print(data)
print(model.predict(data))