<p>我是mlflow的新手,所以我可能会误解事情在基本层面上应该如何运作</p>
<p>但是,当我尝试执行以下操作时:</p>
<pre class="lang-py prettyprint-override"><code>TRACKING_URI = os.path.join(
"hdfs://namenode/user/userid/",
"mlflow",
"anomaly_detection",
)
mlflow.set_tracking_uri(TRACKING_URI)
client = mlflow.tracking.MlflowClient(TRACKING_URI)
</code></pre>
<p>我得到以下错误:</p>
<pre class="lang-sh prettyprint-override"><code>UnsupportedModelRegistryStoreURIException: Model registry functionality is unavailable; got unsupported URI 'hdfs://nameservice1/user/rxb427/mlflow/anomaly_detection' for model registry data storage. Supported URI schemes are: ['', 'file', 'databricks', 'http', 'https', 'postgresql', 'mysql', 'sqlite', 'mssql']. See https://www.mlflow.org/docs/latest/tracking.html#storage for how to run an MLflow server against one of the supported backend storage locations.
</code></pre>
<p>在错误提供的上述链接中,它表示支持hdfs。还是我遗漏了什么</p>