deploy_pretrained_model_input_time_series module

DeployPretrainedModelInputTimeSeries

class edgeimpulse_api.models.deploy_pretrained_model_input_time_series.DeployPretrainedModelInputTimeSeries(
		**data: Any
)

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

  • frequency_hz: float

  • input_type: pydantic.types.StrictStr

  • window_length_ms: pydantic.types.StrictInt

Static methods

from_dict

edgeimpulse_api.models.deploy_pretrained_model_input_time_series.from_dict(
		obj: dict
)> edgeimpulse_api.models.deploy_pretrained_model_input_time_series.DeployPretrainedModelInputTimeSeries

Create an instance of DeployPretrainedModelInputTimeSeries from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.deploy_pretrained_model_input_time_series.DeployPretrainedModelInputTimeSeries

from_json

edgeimpulse_api.models.deploy_pretrained_model_input_time_series.from_json(
		json_str: str
)> edgeimpulse_api.models.deploy_pretrained_model_input_time_series.DeployPretrainedModelInputTimeSeries

Create an instance of DeployPretrainedModelInputTimeSeries from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.deploy_pretrained_model_input_time_series.DeployPretrainedModelInputTimeSeries

input_type_validate_enum

edgeimpulse_api.models.deploy_pretrained_model_input_time_series.input_type_validate_enum(
		v
)

Parameters

  • v

Methods

to_dict

edgeimpulse_api.models.deploy_pretrained_model_input_time_series.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

edgeimpulse_api.models.deploy_pretrained_model_input_time_series.to_json(
		self
)> str

Returns the JSON representation of the model using alias

Parameters