cluster:usage_tips:mlflow

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cluster:usage_tips:mlflow [2022/09/30 09:11] – lukabcluster:usage_tips:mlflow [2022/11/28 05:48] (current) – [Installing ML Flow] matiasrus
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 How-to-Guide for setting up and connecting to ML Flow, tracking experiments and analysing them. How-to-Guide for setting up and connecting to ML Flow, tracking experiments and analysing them.
 +
 +ML Flow Structure:
 +
 +{{:cluster:usage_tips:mlflow_with_sleepvae.png?600|}}
  
 ==== Installing ML Flow ==== ==== Installing ML Flow ====
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 <code> <code>
-ssh -L localhost:5000:130.208.209.2:5001 matiasrus@130.208.209.2+ssh -L localhost:5000:130.208.209.4:your-portnumber your-username@130.208.209.4
 </code> </code>
          
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 import mlflow import mlflow
  
-mlflow_tracking_uri = 'http://localhost:5000'+mlflow_tracking_uri = 'http://localhost:your-port'
 mlflow_experiment = 'test' mlflow_experiment = 'test'
  
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 3) Start the tracking 3) Start the tracking
  
-Track parameters using:+Track parameters by putting these lines in the code of your model:
  
 <code> <code>
  • cluster/usage_tips/mlflow.1664529106.txt.gz
  • Last modified: 2022/09/30 09:11
  • by lukab