Explain an unsaved analytics config via POST
One step with Elastic Stack. We can help you get access.
Look something up
Explain an unsaved analytics config via POST
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 POST in a single step (POST /_ml/data_frame/analytics/_explain). capabilities.work can help you get signed up and connected.
- Can I POST a draft analytics config and get back which fields it would analyze?
- How much memory would a proposed analytics job need, sending the draft config by POST?
Say it to your AI assistant
- POST a draft analytics config with source {source} and dest {dest} and explain its field selection.
- Send analysis {analysis} by POST to estimate its memory before creating a job.
For your developer
POST /_ml/data_frame/analytics/_explain in Elasticsearch Request & Response Specification ml data frame API. Full spec on APIs.io.