deploy_pretrained_model_request module
DeployPretrainedModelRequest
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
deploy_model_type: Optional[pydantic.types.StrictStr]
deployment_type: pydantic.types.StrictStr
engine: Optional[edgeimpulse_api.models.deployment_target_engine.DeploymentTargetEngine]
model_file_base64: pydantic.types.StrictStr
model_file_type: pydantic.types.StrictStr
model_info: edgeimpulse_api.models.deploy_pretrained_model_request_model_info.DeployPretrainedModelRequestModelInfo
representative_features_base64: Optional[pydantic.types.StrictStr]
use_converter: Optional[pydantic.types.StrictStr]
Static methods
deploy_model_type_validate_enum
Parameters
v
from_dict
Create an instance of DeployPretrainedModelRequest from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.deploy_pretrained_model_request.DeployPretrainedModelRequest
from_json
Create an instance of DeployPretrainedModelRequest from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.deploy_pretrained_model_request.DeployPretrainedModelRequest
model_file_type_validate_enum
Parameters
v
use_converter_validate_enum
Parameters
v
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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