ClassifyAutoReq.md

ClassifyAutoReq

Properties

Name	Type	Description	Notes
target_ids	List[int]	The IDs of the target objects.
classifications	List[int]	The wanted new classifications, i.e. taxon ID, one for each object.
scores	List[float]	The classification score is generally between 0 and 1. It indicates the probability that the taxon prediction of this object is correct.
keep_log	bool	Set if former automatic classification history is needed.

Example

from ecotaxa_py_client.models.classify_auto_req import ClassifyAutoReq

# TODO update the JSON string below
json = "{}"
# create an instance of ClassifyAutoReq from a JSON string
classify_auto_req_instance = ClassifyAutoReq.from_json(json)
# print the JSON string representation of the object
print(ClassifyAutoReq.to_json())

# convert the object into a dict
classify_auto_req_dict = classify_auto_req_instance.to_dict()
# create an instance of ClassifyAutoReq from a dict
classify_auto_req_form_dict = classify_auto_req.from_dict(classify_auto_req_dict)

[Back to Model list] [Back to API list] [Back to README]