Name |
Type |
Description |
Notes |
objid |
int |
The object Id. |
[optional] |
classif_id |
int |
The classification Id. |
[optional] |
classif_date |
datetime |
The classification date. |
[optional] |
classif_who |
int |
The user who manualy classify this object. |
[optional] |
classif_type |
str |
The type of classification. Could be A for Automatic or M for Manual. |
[optional] |
classif_qual |
str |
The classification qualification. Could be P for predicted, V for validated or D for Dubious. |
[optional] |
classif_score |
float |
The classification score is generally between 0 and 1. This is a confidence score, in the fact that, the taxon prediction for this object is correct. |
[optional] |
user_name |
str |
The name of the user who classified this object. |
[optional] |
taxon_name |
str |
The taxon name of the object. |
[optional] |
from ecotaxa_py_client.models.historical_classification import HistoricalClassification
# TODO update the JSON string below
json = "{}"
# create an instance of HistoricalClassification from a JSON string
historical_classification_instance = HistoricalClassification.from_json(json)
# print the JSON string representation of the object
print(HistoricalClassification.to_json())
# convert the object into a dict
historical_classification_dict = historical_classification_instance.to_dict()
# create an instance of HistoricalClassification from a dict
historical_classification_form_dict = historical_classification.from_dict(historical_classification_dict)
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