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
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
|
import { FolderFile } from "./FolderFile";
import { ProblemType } from "./Model";
export default class Experiment extends FolderFile {
uploaderId: string = '';
constructor(
name: string = 'Novi eksperiment',
public description: string = '',
public type: ProblemType = ProblemType.Regression,
public datasetId: string = '',
public inputColumns: string[] = [],
public outputColumn: string = '',
public nullValues: NullValueOptions = NullValueOptions.DeleteRows,
public nullValuesReplacers: NullValReplacer[] = [],
dateCreated: Date = new Date(),
lastUpdated: Date = new Date(),
public modelIds: string[] = [],
public columnTypes: ColumnType[] = [],
public encodings: ColumnEncoding[] = []//[{columnName: "", columnEncoding: Encoding.Label}]
) {
super(name, dateCreated, lastUpdated)
}
_columnsSelected: boolean = false;
}
export enum NullValueOptions {
DeleteRows = 'delete_rows',
DeleteColumns = 'delete_columns',
Replace = 'replace'
}
export enum ReplaceWith {
None = 'Popuni...',
Mean = 'Srednja vrednost',
Median = 'Medijana',
Min = 'Minimum',
Max = 'Maksimum'
}
export class NullValReplacer {
"column": string;
"option": NullValueOptions;
"value": string;
}
export enum Encoding {
Label = 'label',
OneHot = 'onehot',
/*Ordinal = 'ordinal',
Hashing = 'hashing',
Binary = 'binary',
BaseN = 'baseN'
BackwardDifference = 'backward difference',
CatBoost = 'cat boost',
Count = 'count',
GLMM = 'glmm',
Target = 'target',
Helmert = 'helmert',
JamesStein = 'james stein',
LeaveOneOut = 'leave one out',
MEstimate = 'MEstimate',
Sum = 'sum',
Polynomial = 'polynomial',
WOE = 'woe',
Quantile = 'quantile'
*/
}
export class ColumnEncoding {
constructor(
public columnName: string,
public encoding: Encoding
) { }
}
export enum ColumnType {
categorical = "categorical",
numerical = "numerical"
}
|
