在运行本地mlflow服务器时出现错误

Question

我试图在本地运行mlflow服务器。

为此，我使用以下内容：

mlflow server --backend-store-uri="sqlite:///C:\\path\\to\\project_folder\\backend\\mlflow_data.db" 
              --default-artifact-root="file:///C:\\path\\to\\project_folder\\artifact_store\\"

在哪里

- backend-store-uri: URI to which to persist experiment and run data (sqlite database in our case).
- default-artifact-root: Local or S3 URI to store artifacts, for new experiments (local folder in our case).

我已经安装了这些包：

numpy==1.17.3
pandas==0.25.3
jupyterlab==1.0.10 
scikit-learn==0.21.3
matplotlib==3.1.2
mlflow==1.4.0
torch==1.3.1+cpu 
torchvision==0.4.2+cpu 
xgboost==0.90

问题是我遇到了这个错误:

Fatal error in launcher: Unable to create process using "d:\bld\mlflow_1572494804636\_h_env\python.exe" "C:\Users\user\AppData\Local\Continuum\miniconda3\envs\mlflow-tut orial\Scripts\mlflow.exe" server --backend-store-uri=sqlite:///C:\\projects\\user\\mlflow_tutorial\\backend\\mlflow_ui_data.db --default-artifact-root=file:///C:\\projects \\user\\mlflow_tutorial\\artifact_store\\

当我运行 mlflow server 命令时出现了问题。有什么想法吗？

- quant

---

你应该在后端存储URI中包含用户名、密码和IP地址，这里有一个例子。https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls - Kevin Su

Answer 1

路径中似乎有一个空格：

- Boris Modylevsky