Explain an unsaved analytics config via GET
One step with Elastic Stack. We can help you get access.
Look something up
Explain an unsaved analytics config via GET
with Elastic Stack · Artificial Intelligence Management
Use Elastic Stack: its Elasticsearch Request & Response Specification ml data frame API lets you explain an unsaved analytics config via GET in a single step (GET /_ml/data_frame/analytics/_explain). capabilities.work can help you get signed up and connected.
- Before creating a job, which fields would a draft data frame analytics config include or skip, using the GET form?
- What memory would a not-yet-created analytics job need, asked over GET?
Say it to your AI assistant
- Explain field selection and memory for a draft analytics config on {source} via GET.
- Using the GET explain call, estimate memory for analysis {analysis} before I create the job.
For your developer
GET /_ml/data_frame/analytics/_explain in Elasticsearch Request & Response Specification ml data frame API. Full spec on APIs.io.