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mlflow down in workspace?

zhh210
New Contributor III

Mlflow started failing all of a sudden for no reason when logged in databricks community edition:imageAny idea why this is happening or is there a way to restart the mlflow server?

1 ACCEPTED SOLUTION

Accepted Solutions

Priyag1
Honored Contributor II

Run an MLflow project

mlflow run <uri> -b databricks --backend-config <json-new-cluster-spec>

Requirements

  1. Install MLflow using 
  2. pip install mlflow
  3. Install and configure the Databricks CLI. The Databricks CLI authentication mechanism is required to run jobs on a Databricks cluster.

View solution in original post

5 REPLIES 5

Priyag1
Honored Contributor II

Run an MLflow project

mlflow run <uri> -b databricks --backend-config <json-new-cluster-spec>

Requirements

  1. Install MLflow using 
  2. pip install mlflow
  3. Install and configure the Databricks CLI. The Databricks CLI authentication mechanism is required to run jobs on a Databricks cluster.

zhh210
New Contributor III

By "Run an MLflow project", do you mean creating a new experiment? It will ask for experiment name and artifact location but nowhere to install.

Priyag1
Honored Contributor II

Create an experiment

  1. In the workspace, select Create > MLflow Experiment.

https://docs.databricks.com/mlflow/projects.html

Priyag1
Honored Contributor II

@Zheng Han​ https://mlflow.org/docs/latest/tracking.html

hope this will help you

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