def create_metric_reporter(cls, config: Config,
tensorizers: Dict[str, Tensorizer]):
return IntentSlotMetricReporter.from_config(
config.metric_reporter,
doc_labels=tensorizers["doc_labels"].vocab,
word_labels=tensorizers["word_labels"].vocab,
)
class Config(Task.Config):
labels: List[TargetConfigBase]
model: JointModel.Config = JointModel.Config()
trainer: Trainer.Config = Trainer.Config()
data_handler: JointModelDataHandler.Config = JointModelDataHandler.Config(
)
metric_reporter: IntentSlotMetricReporter.Config = (
IntentSlotMetricReporter.Config())
class Config(Task.Config):
labels: ContextualIntentSlot.TargetConfig
features: ContextualIntentSlot.ModelInputConfig = (
ContextualIntentSlot.ModelInputConfig())
model: ContextualIntentSlotModel.Config = ContextualIntentSlotModel.Config(
)
trainer: Trainer.Config = Trainer.Config()
data_handler: ContextualIntentSlotModelDataHandler.Config = (
ContextualIntentSlotModelDataHandler.Config())
metric_reporter: IntentSlotMetricReporter.Config = (
IntentSlotMetricReporter.Config())
class Config(Task_Deprecated.Config):
labels: ContextualIntentSlot.TargetConfig
features: ContextualIntentSlot.ModelInputConfig = (
ContextualIntentSlot.ModelInputConfig())
model: ContextualIntentSlotModel.Config = ContextualIntentSlotModel.Config(
)
trainer: Trainer.Config = Trainer.Config()
data_handler: ContextualIntentSlotModelDataHandler.Config = (
ContextualIntentSlotModelDataHandler.Config())
metric_reporter: IntentSlotMetricReporter.Config = (
IntentSlotMetricReporter.Config())
exporter: Optional[DenseFeatureExporter.Config] = None
class Config(NewTask.Config):
model: IntentSlotModel.Config = IntentSlotModel.Config()
metric_reporter: IntentSlotMetricReporter.Config = (
IntentSlotMetricReporter.Config())
class Config(NewTask.Config):
labels: List[TargetConfigBase]
model: IntentSlotModel.Config = IntentSlotModel.Config()
metric_reporter: IntentSlotMetricReporter.Config = (
IntentSlotMetricReporter.Config())
