Managed Fusion 5.9.12 uses Ray to deploy machine learning (ML) models into production. This job removes a Ray deployment from the Managed Fusion cluster. To delete the job, sign in to Managed Fusion and click Collections > Jobs. Then click Add+ and in the Model Deployment Jobs section, select Delete Ray Model Deployment. You can enter basic and advanced parameters to configure the job. If the field has a default value, it is populated when you click to add the job.

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Basic parameters

To enter advanced parameters in the UI, click Advanced. Those parameters are described in the advanced parameters section.
  • Job ID. The unique ID that references this job in the API. This is the id field in the configuration file. Required field.
  • Model name. The model name of the Ray deployment to delete. This is the modelName field in the configuration file. Required field.

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Advanced parameters

If you click the Advanced toggle, the following optional fields are displayed in the UI.
  • Additional parameters. This section lets you enter parameter name:parameter value options to be injected into the training JSON map at runtime. The values are inserted as they are entered, so you must surround string values with ". This is the sparkConfig field in the configuration file.
  • Write Options. This section lets you enter parameter name:parameter value options to use when writing output to Solr or other sources. This is the writeOptions field in the configuration file.
  • Read Options. This section lets you enter parameter name:parameter value options to use when reading input from Solr or other sources. This is the readOptions field in the configuration file.

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Configuration properties