https://community.databricks.com/t5/machine-learning/how-to-read-artifact-file-csv-programmatically/m-p/17826#M980 <P>Maybe there are better solutions, here is what I've found:</P><PRE><CODE>from mlflow.tracking import MlflowClient &nbsp; client = MlflowClient() pd.read_csv(client.download_artifacts(run_id, "xgb-classifier-test-8/dataset_statistics.csv"))</CODE></PRE><P></P> Sun, 12 Jun 2022 23:48:14 GMT Giorgi 2022-06-12T23:48:14Z https://community.databricks.com/t5/machine-learning/how-to-read-artifact-file-csv-programmatically/m-p/17825#M979 <P>Hello,&nbsp;</P><P></P><P>can I programmatically access artifact file (csv), via artifact_uri and read it?</P><P>Tried the following, but didn't work, says no such file or directory:</P><P>mlflow.pyfunc.pandas.read_csv(artifact_uri+'/xgb-classifier-test-8/dataset_statistics.csv')</P><P>pandas.read_csv(artifact_uri+'/xgb-classifier-test-8/dataset_statistics.csv')</P><P></P><P>Thanks!</P> Sun, 12 Jun 2022 23:04:53 GMT https://community.databricks.com/t5/machine-learning/how-to-read-artifact-file-csv-programmatically/m-p/17825#M979 Giorgi 2022-06-12T23:04:53Z https://community.databricks.com/t5/machine-learning/how-to-read-artifact-file-csv-programmatically/m-p/17826#M980 <P>Maybe there are better solutions, here is what I've found:</P><PRE><CODE>from mlflow.tracking import MlflowClient &nbsp; client = MlflowClient() pd.read_csv(client.download_artifacts(run_id, "xgb-classifier-test-8/dataset_statistics.csv"))</CODE></PRE><P></P> Sun, 12 Jun 2022 23:48:14 GMT https://community.databricks.com/t5/machine-learning/how-to-read-artifact-file-csv-programmatically/m-p/17826#M980 Giorgi 2022-06-12T23:48:14Z