/
Instance.scala
50 lines (44 loc) · 1.81 KB
/
Instance.scala
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
50
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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 org.apache.spark.ml.feature
import org.apache.spark.ml.linalg.Vector
/**
* Class that represents an instance of weighted data point with label and features.
*
* @param label Label for this data point.
* @param weight The weight of this instance.
* @param features The vector of features for this data point.
*/
private[ml] case class Instance(label: Double, weight: Double, features: Vector)
/**
* Case class that represents an instance of data point with
* label, weight, offset and features.
* This is mainly used in GeneralizedLinearRegression currently.
*
* @param label Label for this data point.
* @param weight The weight of this instance.
* @param offset The offset used for this data point.
* @param features The vector of features for this data point.
*/
private[ml] case class OffsetInstance(
label: Double,
weight: Double,
offset: Double,
features: Vector) {
/** Converts to an [[Instance]] object by leaving out the offset. */
def toInstance: Instance = Instance(label, weight, features)
}