phoenix-oss/llama-stack
1
0
Fork 0
forked from phoenix-oss/llama-stack-mirror
Code Pull requests Releases Packages 2 Activity Actions

[Evals API][4/n] evals with generation meta-reference impl (#303)

Browse source 
* wip

* dataset validation

* test_scoring

* cleanup

* clean up test

* comments

* error checking

* dataset client

* test client:

* datasetio client

* clean up

* basic scoring function works

* scorer wip

* equality scorer

* score batch impl

* score batch

* update scoring test

* refactor

* validate scorer input

* address comments

* evals with generation

* add all rows scores to ScoringResult

* minor typing

* bugfix

* scoring function def rename

* rebase name

* refactor

* address comments

* Update iOS inference instructions for new quantization

* Small updates to quantization config

* Fix score threshold in faiss

* Bump version to 0.0.45

* Handle both ipv6 and ipv4 interfaces together

* update manifest for build templates

* Update getting_started.md

* chatcompletion & completion input type validation

* inclusion->subsetof

* error checking

* scoring_function -> scoring_fn rename, scorer -> scoring_fn rename

* address comments

* [Evals API][5/n] fixes to generate openapi spec (#323)

* generate openapi

* typing comment, dataset -> dataset_id

* remove custom type

* sample eval run.yaml

---------

Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
Xi Yan 2024-10-25 13:12:39 -07:00 • committed by GitHub
parent 426d821e7f
commit abdf7cddf3
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
31 changed files with 3371 additions and 1296 deletions
Download patch file Download diff file Expand all files Collapse all files

3
llama_stack/apis/synthetic_data_generation/synthetic_data_generation.py
View file

@ -13,7 +13,6 @@ from llama_models.schema_utils import json_schema_type, webmethod
from pydantic import BaseModel
from llama_models.llama3.api.datatypes import * # noqa: F403
from llama_stack.apis.reward_scoring import * # noqa: F403
class FilteringFunction(Enum):
@ -40,7 +39,7 @@ class SyntheticDataGenerationRequest(BaseModel):
class SyntheticDataGenerationResponse(BaseModel):
"""Response from the synthetic data generation. Batch of (prompt, response, score) tuples that pass the threshold."""
synthetic_data: List[ScoredDialogGenerations]
synthetic_data: List[Dict[str, Any]]
statistics: Optional[Dict[str, Any]] = None