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basic scoring function works

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This commit is contained in:
Xi Yan 2024-10-23 14:42:28 -07:00
parent 38e31ab525
commit 70c08e694d
5 changed files with 164 additions and 6 deletions
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17
llama_stack/providers/impls/meta_reference/scoring/scoring.py
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@ -7,6 +7,8 @@ from typing import List
from llama_models.llama3.api.datatypes import * # noqa: F403
from llama_stack.apis.scoring import * # noqa: F403
from llama_stack.apis.scoring_functions import * # noqa: F403
from llama_stack.apis.common.type_system import * # noqa: F403
from llama_stack.apis.datasetio import * # noqa: F403
from termcolor import cprint
@ -28,6 +30,19 @@ class MetaReferenceScoringImpl(Scoring, ScoringFunctionsProtocolPrivate):
async def shutdown(self) -> None: ...
async def list_scoring_functions(self) -> List[ScoringFunctionDef]:
return [
DeterministicFunctionDef(
identifier="equality",
description="Returns 1.0 if the input is equal to the target, 0.0 otherwise.",
parameters=[],
return_type=NumberType(),
)
]
async def register_scoring_function(self, function_def: ScoringFunctionDef) -> None:
pass
async def score_batch(
self, dataset_id: str, scoring_functions: List[str]
) -> ScoreBatchResponse:
@ -36,4 +51,4 @@ class MetaReferenceScoringImpl(Scoring, ScoringFunctionsProtocolPrivate):
async def score(
self, input_rows: List[Dict[str, Any]], scoring_functions: List[str]
) -> ScoreResponse:
print("score")
print("!!!!score")