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Databricks Tools

Databricks Ml Experiments Create Experiment

Tool to create a new MLflow experiment for tracking machine learning runs and models. Use when you need to organize and track ML experiments within Databricks. Returns RESOURCE_ALREADY_EXISTS error if an experiment with the same name already exists.

Write actionRisk level 2 of 5API key connection
Use Databricks Ml Experiments Create Experiment

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Pricing
Free
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Inputs

  • namestring
    Required
    Experiment name. This field is required and must be unique within the workspace
  • tagsarray
    A collection of tags to set on the experiment. Maximum tag size: keys up to 250 bytes, values up to 5000 bytes. Limited to 20 tags per request
  • artifact_locationstring
    Location where all artifacts for the experiment are stored. If not provided, the remote server will select an appropriate default

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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