Evaluation.predict_and_score:v2
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import weave
from typing import Union
from weave.trace.op import Op
from weave.flow.model import Model
from weave.flow.model import apply_model_async
from weave.flow.model import ApplyModelError
from weave.flow.scorer import get_scorer_attributes
@weave.op()
async def predict_and_score(self, model: Union[Op, Model], example: dict) -> dict:
apply_model_result = await apply_model_async(
model, example, self.preprocess_model_input
)
if isinstance(apply_model_result, ApplyModelError):
return {
self._output_key: None,
"scores": {},
"model_latency": apply_model_result.model_latency,
}
model_output = apply_model_result.model_output
model_call = apply_model_result.model_call
model_latency = apply_model_result.model_latency