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Databricks Ml Experiments Log Batch

Tool to log a batch of metrics, parameters, and tags for an MLflow run in a single request. Use when you need to efficiently log multiple metrics, params, or tags simultaneously. Items within each type are processed sequentially in the order specified. The combined total of all…

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Use Databricks Ml Experiments Log Batch

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Inputs

  • tagsarray
    Tags to log. Each tag includes key and value. Items are processed sequentially in order. Maximum 100 tags
  • paramsarray
    Parameters to log. Each param includes key and value. Items are processed sequentially in order. Maximum 100 parameters
  • run_idstring
    Required
    ID of the run to log under. This identifies the specific MLflow run for which metrics, params, and tags will be logged
  • metricsarray
    Metrics to log. Each metric includes key, value, timestamp, and optional step. Items are processed sequentially in order

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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