akka optimize eval
Datasets, experiments and the evaluators that score them
Synopsis
An experiment is one execution of one dataset version against one target with one set of evaluators.
An evaluator never turns a failure into a low score: it reports inconclusive when it has nothing to read, and neither that nor its own breakage enters a pass rate.
Options inherited from parent commands
--cache-file string location of cache file (default "~/.akka/cache.yaml")
--config string location of config file (default "~/.akka/config.yaml")
--context string configuration context to use
--disable-prompt Disable all interactive prompts when running akka commands. If input is required, defaults will be used, or an error will be raised.
This is equivalent to setting the environment variable AKKA_DISABLE_PROMPTS to true.
--force Skip the confirmation prompt
--jq string Filter the JSON output with a jq expression
--json string Output JSON with only these fields; --json= lists the fields a command offers
--no-color Print without color, as NO_COLOR does
-o, --output string set output format to one of [text,json,json-compact,go-template=] (default "text")
--page-mode string the mode for paging, either paged, buffered or auto. (default "auto")
-q, --quiet set quiet output (helpful when used as part of a script)
--region string Region to use if the project has more than one region
--timeout duration client command timeout (default 10s)
--trainer-url string Trainer service URL (default http://localhost:9001, or TRAINER_URL)
--url string Optimize service URL (default http://localhost:9010, or OPTIMIZE_URL)
--use-grpc-web use grpc-web when talking to Akka APIs. This is useful when behind corporate firewalls that decrypt traffic but don't support HTTP/2.
--verbose set verbose output
SEE ALSO
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akka optimize - Own your intelligence: cost, models, training and routing
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akka optimize eval datasets - Test cases, versioned at import
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akka optimize eval evaluators - What can score an answer, and what each one needs to read
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akka optimize eval experiments - One dataset version, one target, one set of evaluators
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akka optimize eval init - Add the eval source root to a project
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akka optimize eval report - Open the rendered report for a run
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akka optimize eval rules - Rules declared across the project’s eval campaigns
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akka optimize eval run - Run the local eval campaigns (wraps
mvn verify -Deval=true)