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    Pythonlangchain-classicsmithevaluationstring_run_evaluatorStringRunEvaluatorChain
    Class●Since v1.0

    StringRunEvaluatorChain

    Copy
    StringRunEvaluatorChain()

    Bases

    ChainRunEvaluator

    Attributes

    Methods

    Inherited fromChain

    Attributes

    Amemory: BaseMemory | None
    —

    Optional memory object.

    Acallbacks: CallbacksAverbose: boolAtags
    View source on GitHub
    : list[str] | None
    Ametadata: dict[str, Any] | None
    Acallback_manager: BaseCallbackManager | None
    —

    [DEPRECATED] Use callbacks instead.

    Amodel_config

    Methods

    Mget_input_schemaMget_output_schemaMinvokeMainvokeMraise_callback_manager_deprecation
    —

    Raise deprecation warning if callback_manager is used.

    Mset_verbose
    —

    Set the chain verbosity.

    Macall
    —

    Asynchronously execute the chain.

    Mprep_outputs
    —

    Validate and prepare chain outputs, and save info about this run to memory.

    Maprep_outputs
    —

    Validate and prepare chain outputs, and save info about this run to memory.

    Mprep_inputs
    —

    Prepare chain inputs, including adding inputs from memory.

    Maprep_inputs
    —

    Prepare chain inputs, including adding inputs from memory.

    Mrun
    —

    Convenience method for executing chain.

    Marun
    —

    Convenience method for executing chain.

    Mdict
    —

    Return dictionary representation of agent.

    Msave
    —

    Save the agent.

    Mapply
    —

    Utilize the LLM generate method for speed gains.

    Inherited fromRunnableSerializable(langchain_core)

    Attributes

    Amodel_config

    Methods

    Mto_jsonMconfigurable_fieldsMconfigurable_alternatives

    Inherited fromSerializable(langchain_core)

    Attributes

    Alc_secretsAlc_attributesAmodel_config

    Methods

    Mis_lc_serializableMget_lc_namespaceMlc_idMto_jsonMto_json_not_implemented

    Inherited fromRunnable(langchain_core)

    Attributes

    AInputTypeAOutputTypeAinput_schemaAoutput_schemaAconfig_specs

    Methods

    Mget_nameMget_input_schemaMget_input_jsonschemaMget_output_schemaMget_output_jsonschemaM
    attribute
    run_mapper: StringRunMapper

    Maps the Run to a dictionary with 'input' and 'prediction' strings.

    attribute
    example_mapper: StringExampleMapper | None

    Maps the Example (dataset row) to a dictionary with a 'reference' string.

    attribute
    name: str

    The name of the evaluation metric.

    attribute
    string_evaluator: StringEvaluator

    The evaluation chain.

    attribute
    input_keys: list[str]
    attribute
    output_keys: list[str]
    method
    evaluate_run

    Evaluate an example.

    method
    aevaluate_run

    Evaluate an example.

    method
    from_run_and_data_type

    Create a StringRunEvaluatorChain.

    Create a StringRunEvaluatorChain from an evaluator and the run and dataset types.

    This method provides an easy way to instantiate a StringRunEvaluatorChain, by taking an evaluator and information about the type of run and the data. The method supports LLM and chain runs.

    Evaluate Run and optional examples.

    config_schema
    Mget_config_jsonschema
    Mget_graph
    Mget_prompts
    Mpipe
    Mpick
    Massign
    Minvoke
    Mainvoke
    Mbatch
    Mbatch_as_completed
    Mabatch
    Mabatch_as_completed
    Mstream
    Mastream
    Mastream_log
    Mastream_events
    Mtransform
    Matransform
    Mbind
    Mwith_config
    Mwith_listeners
    Mwith_alisteners
    Mwith_types
    Mwith_retry
    Mmap
    Mwith_fallbacks
    Mas_tool