r - 无法将模型或工件记录到 Mlflow

Question

我有一个 MLFlow 远程服务器，我可以从 rstudio 记录一些东西，比如：

  mlflow_log_param("param1", 5)
  mlflow_log_param("param2", 5)
  mlflow_log_metric("foo", 1)
  mlflow_log_metric("foo", 2)
  mlflow_log_metric("foo", 3)

但是当我尝试记录以下内容时：

  writeLines("Hello world!", "output.txt") 
  mlflow_log_artifact("output.txt")

我有这个错误：

2020/04/01 21:45:27 INFO mlflow.store.artifact.cli: Logged artifact from local file output.txt to artifact_path=None
Root URI: ./mlruns/12/3256cfd3cd1b44b99334040bd5c7c9ee/artifacts

当我尝试记录模型时：

 mlflow_log_model(predictor, "model1")

我有下一个错误：

 2020/04/01 21:56:44 INFO mlflow.store.artifact.cli: Logged artifact from local dir D:/user/AppData/Local/Temp/RtmpcBwDOP/model1 to artifact_path=model1
    Root URI: ./mlruns/12/07d84e0f252a4248bb2473229297d318/artifacts
    # A tibble: 0 x 0
    Warning message:
    In value[[3L]](cond) :
      Logging model metadata to the tracking server has failed, possibly due to older server version. The model artifacts have been logged successfully. In addition to exporting model artifacts, MLflow clients 1.7.0 and above attempt to record model metadata to the  tracking store. If logging to a mlflow server via REST, consider  upgrading the server version to MLflow 1.7.0 or above.

服务器已更新，客户端也已更新。

标签： rmlflow