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Base interfaces and data structures for defining a deduplication workflow.
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/*
* MIT License
*
* Copyright (c) 2019 bakdata GmbH
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
package com.bakdata.dedupe.classifier;
import lombok.Getter;
import lombok.RequiredArgsConstructor;
/**
* Contains the possible classification classes.
*/
@RequiredArgsConstructor
public enum Classification {
/**
* A sure duplicate.
*/
DUPLICATE(false),
/**
* Possible duplicate may come from a high uncertainty of the {@link Classifier}. For example, if the classifier
* uses a {@link com.bakdata.dedupe.similarity.SimilarityMeasure} and a threshold, the classifier might have two
* thresholds:
*
* - an upper threshold which defines when a pair is a {@link #DUPLICATE}, and
* - a lower bound when defines all pairs as {@link #NON_DUPLICATE}.
*
* All similarities between the threshold would then be labeled POSSIBLE_DUPLICATE.
*/
POSSIBLE_DUPLICATE(true),
/**
* A sure non-duplicate.
*/
NON_DUPLICATE(false),
/**
* Unknown classifications are primarily caused by a lack of information. For example, when two records have no two
* fields jointly set (alternating null values), it is impossible to state if this pair is a duplicate or not.
* The different class from {@link #POSSIBLE_DUPLICATE} is especially useful in later clustering: An unknown
* classification has no weight and this neither imply that a cluster is coherent or should be split. A possible
* duplicate is, however, already a meaningful statement. If high precision is the overall goal, possible duplicates
* might be cut off.
* Another difference between the classes becomes apparent when using manual labeling for difficult pairs. While
* possible duplicates are exactly those pairs that should be labeled, unknown pairs have a high probability to not
* be resolvable by humans.
*/
UNKNOWN(true);
/**
* Returns if this class can directly be used
*/
@Getter
final boolean ambiguous;
/**
* @return true iff {@code this === UNKNOWN}
*/
public boolean isUnknown() {
return this == UNKNOWN;
}
}
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