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| Path : /lib/python3.9/site-packages/oci/ai_document/models/ |
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| Current File : //lib/python3.9/site-packages/oci/ai_document/models/key_value_detection_confidence_entry.py |
# coding: utf-8
# Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
# NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20221109
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class KeyValueDetectionConfidenceEntry(object):
"""
Key Value Detection Confidence Entry.
"""
def __init__(self, **kwargs):
"""
Initializes a new KeyValueDetectionConfidenceEntry object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param threshold:
The value to assign to the threshold property of this KeyValueDetectionConfidenceEntry.
:type threshold: float
:param precision:
The value to assign to the precision property of this KeyValueDetectionConfidenceEntry.
:type precision: float
:param recall:
The value to assign to the recall property of this KeyValueDetectionConfidenceEntry.
:type recall: float
:param f1_score:
The value to assign to the f1_score property of this KeyValueDetectionConfidenceEntry.
:type f1_score: float
:param accuracy:
The value to assign to the accuracy property of this KeyValueDetectionConfidenceEntry.
:type accuracy: float
"""
self.swagger_types = {
'threshold': 'float',
'precision': 'float',
'recall': 'float',
'f1_score': 'float',
'accuracy': 'float'
}
self.attribute_map = {
'threshold': 'threshold',
'precision': 'precision',
'recall': 'recall',
'f1_score': 'f1Score',
'accuracy': 'accuracy'
}
self._threshold = None
self._precision = None
self._recall = None
self._f1_score = None
self._accuracy = None
@property
def threshold(self):
"""
**[Required]** Gets the threshold of this KeyValueDetectionConfidenceEntry.
Threshold used to calculate precision and recall.
:return: The threshold of this KeyValueDetectionConfidenceEntry.
:rtype: float
"""
return self._threshold
@threshold.setter
def threshold(self, threshold):
"""
Sets the threshold of this KeyValueDetectionConfidenceEntry.
Threshold used to calculate precision and recall.
:param threshold: The threshold of this KeyValueDetectionConfidenceEntry.
:type: float
"""
self._threshold = threshold
@property
def precision(self):
"""
**[Required]** Gets the precision of this KeyValueDetectionConfidenceEntry.
Precision under the threshold
:return: The precision of this KeyValueDetectionConfidenceEntry.
:rtype: float
"""
return self._precision
@precision.setter
def precision(self, precision):
"""
Sets the precision of this KeyValueDetectionConfidenceEntry.
Precision under the threshold
:param precision: The precision of this KeyValueDetectionConfidenceEntry.
:type: float
"""
self._precision = precision
@property
def recall(self):
"""
**[Required]** Gets the recall of this KeyValueDetectionConfidenceEntry.
Recall under the threshold
:return: The recall of this KeyValueDetectionConfidenceEntry.
:rtype: float
"""
return self._recall
@recall.setter
def recall(self, recall):
"""
Sets the recall of this KeyValueDetectionConfidenceEntry.
Recall under the threshold
:param recall: The recall of this KeyValueDetectionConfidenceEntry.
:type: float
"""
self._recall = recall
@property
def f1_score(self):
"""
**[Required]** Gets the f1_score of this KeyValueDetectionConfidenceEntry.
f1Score under the threshold
:return: The f1_score of this KeyValueDetectionConfidenceEntry.
:rtype: float
"""
return self._f1_score
@f1_score.setter
def f1_score(self, f1_score):
"""
Sets the f1_score of this KeyValueDetectionConfidenceEntry.
f1Score under the threshold
:param f1_score: The f1_score of this KeyValueDetectionConfidenceEntry.
:type: float
"""
self._f1_score = f1_score
@property
def accuracy(self):
"""
**[Required]** Gets the accuracy of this KeyValueDetectionConfidenceEntry.
accuracy under the threshold
:return: The accuracy of this KeyValueDetectionConfidenceEntry.
:rtype: float
"""
return self._accuracy
@accuracy.setter
def accuracy(self, accuracy):
"""
Sets the accuracy of this KeyValueDetectionConfidenceEntry.
accuracy under the threshold
:param accuracy: The accuracy of this KeyValueDetectionConfidenceEntry.
:type: float
"""
self._accuracy = accuracy
def __repr__(self):
return formatted_flat_dict(self)
def __eq__(self, other):
if other is None:
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
return not self == other