keras_model_metadata_graph_series module
KerasModelMetadataGraphSeries
class edgeimpulse_api.models.keras_model_metadata_graph_series.KerasModelMetadataGraphSeries(
**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
The type of the None singleton.title: pydantic.types.StrictStr
The type of the None singleton.values: List[float]
The type of the None singleton.
Static methods
from_dict
edgeimpulse_api.models.keras_model_metadata_graph_series.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.keras_model_metadata_graph_series.KerasModelMetadataGraphSeries
Create an instance of KerasModelMetadataGraphSeries from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.keras_model_metadata_graph_series.KerasModelMetadataGraphSeries
from_json
edgeimpulse_api.models.keras_model_metadata_graph_series.from_json(
json_str: str
) ‑> edgeimpulse_api.models.keras_model_metadata_graph_series.KerasModelMetadataGraphSeries
Create an instance of KerasModelMetadataGraphSeries from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.keras_model_metadata_graph_series.KerasModelMetadataGraphSeries
Methods
to_dict
edgeimpulse_api.models.keras_model_metadata_graph_series.to_dict(
self
)
Returns the dictionary representation of the model using alias
Parameters
self
to_json
edgeimpulse_api.models.keras_model_metadata_graph_series.to_json(
self,
indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
edgeimpulse_api.models.keras_model_metadata_graph_series.to_str(
self
) ‑> str
Returns the string representation of the model using alias
Parameters
self
Return
str
Last updated
Was this helpful?