def predict(self, key_data):
ref_key_attributes = closest_neighbors(self.synthetic_dict.keys(),
key_data)
ref_sensitive_attributes = []
for key in ref_key_attributes:
ref_sensitive_attributes.extend(self.synthetic_dict[key])
return majority(ref_sensitive_attributes)
def predict(self, key_data):
"""Make a prediction of the sensitive data given keys.
Args:
key_data(tuple):
The key data.
Returns:
tuple:
The predicted sensitive data.
"""
predictions = [attacker.predict(key_data) for attacker in self.attackers]
return majority(predictions)
def predict(self, key_data):
"""Make a prediction of the sensitive data given keys.
Args:
key_data (tuple):
The key data.
Returns:
tuple:
The predicted sensitive data.
"""
if key_data not in self.synthetic_dict:
return None # target key attribute not found in synthetic table
return majority(self.synthetic_dict[key_data])
def predict(self, key_data):
"""Make a prediction of the sensitive data given keys.
Args:
key_data (tuple):
The key data.
Returns:
tuple:
The predicted sensitive data.
"""
ref_key_attributes = closest_neighbors(self.synthetic_dict.keys(), key_data)
ref_sensitive_attributes = []
for key in ref_key_attributes:
ref_sensitive_attributes.extend(self.synthetic_dict[key])
return majority(ref_sensitive_attributes)
def predict(self, key_data):
predictions = [
attacker.predict(key_data) for attacker in self.attackers
]
return majority(predictions)
def predict(self, key_data):
if key_data not in self.synthetic_dict:
return None # target key attribute not found in synthetic table
return majority(self.synthetic_dict[key_data])