/
AbstractMetrics.java
executable file
·49 lines (41 loc) · 1.54 KB
/
AbstractMetrics.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
/**
* Copyright (C) 2013-2016 Vasilis Vryniotis <bbriniotis@datumbox.com>
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.datumbox.framework.core.machinelearning.common.abstracts.validators;
import com.datumbox.framework.common.dataobjects.Dataframe;
import com.datumbox.framework.core.machinelearning.common.interfaces.ValidationMetrics;
import java.util.List;
/**
* The AbstractMetrics class stores and estimates information about the performance of the algorithm.
*
* @author Vasilis Vryniotis <bbriniotis@datumbox.com>
*/
public abstract class AbstractMetrics implements ValidationMetrics {
/**
* Estimates the validation metrics on the predicted data.
*
* @param predictedData
*/
protected AbstractMetrics(Dataframe predictedData) {
}
/**
* Calculates the average validation metrics by combining the results of the
* provided list.
*
* @param validationMetricsList
*/
protected AbstractMetrics(List<? extends AbstractMetrics> validationMetricsList) {
}
}