Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Parameters
**data: Any
Bases
pydantic.main.BaseModel
pydantic.utils.Representation
Class variables
Config
abbreviated_name: pydantic.types.StrictStr | None
author: pydantic.types.StrictStr
block_type: edgeimpulse_api.models.block_type.BlockType
custom_parameters: List[edgeimpulse_api.models.dsp_group_item.DSPGroupItem] | None
default_dropout: float | None
default_learning_rate: float | None
default_neurons: pydantic.types.StrictInt | None
default_training_cycles: float | None
description: pydantic.types.StrictStr
display_category: edgeimpulse_api.models.block_display_category.BlockDisplayCategory | None
has_dropout: pydantic.types.StrictBool
has_image_augmentation: pydantic.types.StrictBool | None
has_neurons: pydantic.types.StrictBool
implementation_version: pydantic.types.StrictInt | None
learn_block_type: edgeimpulse_api.models.learn_block_type.LearnBlockType | None
name: pydantic.types.StrictStr
organization_model_id: pydantic.types.StrictInt | None
repository_url: pydantic.types.StrictStr | None
short_name: pydantic.types.StrictStr
type: edgeimpulse_api.models.keras_visual_layer_type.KerasVisualLayerType
Create an instance of TransferLearningModel from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.transfer_learning_model.TransferLearningModel
Create an instance of TransferLearningModel from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.transfer_learning_model.TransferLearningModel
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str