transfer_learning_model module
TransferLearningModel
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: Optional[pydantic.types.StrictStr]
author: pydantic.types.StrictStr
block_type: edgeimpulse_api.models.block_type.BlockType
custom_parameters: Optional[List[edgeimpulse_api.models.dsp_group_item.DSPGroupItem]]
default_dropout: Optional[float]
default_learning_rate: Optional[float]
default_neurons: Optional[pydantic.types.StrictInt]
default_training_cycles: Optional[float]
description: pydantic.types.StrictStr
display_category: Optional[edgeimpulse_api.models.block_display_category.BlockDisplayCategory]
has_dropout: pydantic.types.StrictBool
has_image_augmentation: Optional[pydantic.types.StrictBool]
has_neurons: pydantic.types.StrictBool
implementation_version: Optional[pydantic.types.StrictInt]
learn_block_type: Optional[edgeimpulse_api.models.learn_block_type.LearnBlockType]
name: pydantic.types.StrictStr
organization_model_id: Optional[pydantic.types.StrictInt]
repository_url: Optional[pydantic.types.StrictStr]
short_name: pydantic.types.StrictStr
type: edgeimpulse_api.models.keras_visual_layer_type.KerasVisualLayerType
Static methods
from_dict
Create an instance of TransferLearningModel from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.transfer_learning_model.TransferLearningModel
from_json
Create an instance of TransferLearningModel from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.transfer_learning_model.TransferLearningModel
Methods
to_dict
Returns the dictionary representation of the model using alias
Parameters
self
to_json
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
Returns the string representation of the model using alias
Parameters
self
Return
str
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