aligned.exposed_model.openai.OpenAiEmbeddingPredictor

class documentation

class OpenAiEmbeddingPredictor(ExposedModel, VersionedModel): (source)

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Async Method model_version Undocumented
Async Method needed_entities Undocumented
Async Method needed_features Undocumented
Method prompt_template_hash Undocumented
Async Method run_polars Undocumented
Method with_contract Undocumented
Class Variable batch_on_n_chunks Undocumented
Class Variable config Undocumented
Class Variable model Undocumented
Class Variable model_type Undocumented
Class Variable prompt_template Undocumented
Instance Variable feature_refs Undocumented
Instance Variable output_name Undocumented
Property as_markdown Undocumented
Property base_url Undocumented
Property exposed_at_url Undocumented
async def model_version(self) -> str: (source)
overrides aligned.exposed_model.interface.VersionedModel.model_version

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async def needed_entities(self, store: ModelFeatureStore) -> set[Feature]: (source)

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async def needed_features(self, store: ModelFeatureStore) -> list[FeatureReference]: (source)

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def prompt_template_hash(self) -> str: (source)

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async def run_polars(self, values: RetrievalJob, store: ModelFeatureStore) -> pl.DataFrame: (source)

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def with_contract(self, model: Model) -> ExposedModel: (source)

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batch_on_n_chunks: int | None = (source)

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config: OpenAiConfig = (source)

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model: str = (source)

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model_type: str = (source)

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prompt_template: str = (source)

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feature_refs: list[FeatureReference] = (source)

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output_name: str = (source)

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as_markdown: str = (source)

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base_url: str = (source)

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exposed_at_url: str | None = (source)

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