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Create a data frame analytics job

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Create a data frame analytics job

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elasticsearch Request & Response Specification ml data frame API lets you create a data frame analytics job in a single step (PUT /_ml/data_frame/analytics/{id}). capabilities.work can help you get signed up and connected.

  • How do I set up outlier detection, regression or classification on an index?
  • Can I cap the memory a new data frame analytics job is allowed to use?
  • Will the destination index be created for me when the analytics job starts?
Say it to your AI assistant
  • Create data frame analytics job {id} reading from {source}, writing to {dest}, running {analysis}.
  • Create analytics job {id} with a model memory limit of {model_memory_limit}.
For your developer

PUT /_ml/data_frame/analytics/{id} in Elasticsearch Request & Response Specification ml data frame API. Full spec on APIs.io.

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