def from_model_config_file(
cls,
model_config_file: str,
interaction_model: InteractionModel,
loss: RelevanceLossBase,
file_io: FileIO,
output_name: str = "score",
feature_config: Optional[FeatureConfig] = None,
logger: Optional[Logger] = None,
):
"""
Get a Scorer object from a YAML model config file
Parameters
----------
model_config_file : str
Path to YAML file defining the model layer configuration
feature_config : `FeatureConfig` object
FeatureConfig object defining the features and their configurations
interaction_model : `InteractionModel` object
InteractionModel that defines the feature transformation layers
on the input model features
loss : `RelevanceLossBase` object
Relevance loss object that defines the final activation layer
and the loss function for the model
file_io : `FileIO` object
FileIO object that handles read and write
output_name : str, optional
Name of the output that captures the score computed by the model
logger: Logger, optional
Logging handler
Returns
-------
`ScorerBase` object
ScorerBase object that computes the scores from the input features of the model
"""
model_config = file_io.read_yaml(model_config_file)
return cls(
model_config=model_config,
feature_config=feature_config,
interaction_model=interaction_model,
loss=loss,
file_io=file_io,
output_name=output_name,
logger=logger
)
def from_model_config_file(
cls,
model_config_file: str,
interaction_model: InteractionModel,
loss: RelevanceLossBase,
output_name: str,
file_io: FileIO,
logger: Optional[Logger] = None,
):
model_config = file_io.read_yaml(model_config_file)
return cls(
model_config=model_config,
interaction_model=interaction_model,
loss=loss,
output_name=output_name,
)