4385132063

Build # 4385132063

Build Type

push

github

Committed by GitHub

Commit Message

Merge pull request #316 from jecisc/divers-cleanings

Run Details

2977 of 2977 new or added lines in 214 files covered. (100.0%)

19725 of 24212 relevant lines covered (81.47%)

2.44 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

83.93

/src/Math-Numerical/PMScaledProbabilityDensityFunction.class.st

Class {
        #name : #PMScaledProbabilityDensityFunction,
        #superclass : #Object,
        #instVars : [
                'probabilityDensityFunction',
                'count',
                'binWidth'
        ],
        #category : #'Math-Numerical'
}

{ #category : #creation }
PMScaledProbabilityDensityFunction class >> histogram: aHistogram against: aProbabilityDensityFunction [
        "Create a new instance of the receiver with given probability density function and histogram."
                ^self new
                initialize: aProbabilityDensityFunction
                binWidth: aHistogram binWidth
                count: aHistogram totalCount
]

{ #category : #creation }
PMScaledProbabilityDensityFunction class >> histogram: aHistogram distributionClass: aProbabilityDensityFunctionClass [
        "Create a new instance of the receiver with given probability density function and histogram."

        | dp |
        ^ (dp := aProbabilityDensityFunctionClass fromHistogram: aHistogram) ifNotNil: [ self histogram: aHistogram against: dp ]
]

{ #category : #transformation }
PMScaledProbabilityDensityFunction >> changeParametersBy: aVector [
                "Modify the parameters of the receiver by aVector"
        count := count + aVector last.
        probabilityDensityFunction changeParametersBy: aVector
]

{ #category : #information }
PMScaledProbabilityDensityFunction >> distributionFunction [
        ^probabilityDensityFunction distributionFunction
]

{ #category : #initialization }
PMScaledProbabilityDensityFunction >> initialize: aProbabilityDensityFunction binWidth: aNumber count: anInteger [
        "Private"

        probabilityDensityFunction := aProbabilityDensityFunction.
        binWidth := aNumber.
        count := anInteger.
        ^self
]

{ #category : #information }
PMScaledProbabilityDensityFunction >> parameters [
        ^probabilityDensityFunction parameters copyWith: count
]

{ #category : #display }
PMScaledProbabilityDensityFunction >> printOn: aStream [
        super printOn: aStream.
        aStream nextPut: $[;
                        nextPutAll: probabilityDensityFunction class distributionName;
                        nextPut: $]
]

{ #category : #transformation }
PMScaledProbabilityDensityFunction >> setCount: aNumber [
        count := aNumber
]

{ #category : #information }
PMScaledProbabilityDensityFunction >> value: aNumber [

        ^(probabilityDensityFunction value: aNumber) * binWidth * count
]

{ #category : #information }
PMScaledProbabilityDensityFunction >> valueAndGradient: aNumber [
        "Answers an Array containing the value of the receiver at aNumber
                 and the gradient of the receiver's respective to the receiver's
                 parameters evaluated at aNumber."

        | g temp |
        g := probabilityDensityFunction valueAndGradient: aNumber.
        temp := binWidth * count.
        ^Array with: g first * temp
                   with: ( (g last collect: [:each | each * temp]) copyWith: g first * binWidth)
]

1	Class {
2	#name : #PMScaledProbabilityDensityFunction,
3	#superclass : #Object,
4	#instVars : [
5	'probabilityDensityFunction',
6	'count',
7	'binWidth'
8	],
9	#category : #'Math-Numerical'
10	}
11
12	{ #category : #creation }
13	PMScaledProbabilityDensityFunction class >> histogram: aHistogram against: aProbabilityDensityFunction [	3✔
14	"Create a new instance of the receiver with given probability density function and histogram."	3✔
15	^self new	3✔
16	initialize: aProbabilityDensityFunction	3✔
17	binWidth: aHistogram binWidth	3✔
18	count: aHistogram totalCount	3✔
19	]	3✔
20
21	{ #category : #creation }
22	PMScaledProbabilityDensityFunction class >> histogram: aHistogram distributionClass: aProbabilityDensityFunctionClass [	3✔
23	"Create a new instance of the receiver with given probability density function and histogram."	3✔
24		3✔
25	\| dp \|	3✔
26	^ (dp := aProbabilityDensityFunctionClass fromHistogram: aHistogram) ifNotNil: [ self histogram: aHistogram against: dp ]	3✔
27	]	3✔
28
29	{ #category : #transformation }
30	PMScaledProbabilityDensityFunction >> changeParametersBy: aVector [	3✔
31	"Modify the parameters of the receiver by aVector"	3✔
32	count := count + aVector last.	3✔
33	probabilityDensityFunction changeParametersBy: aVector	3✔
34	]	3✔
35
36	{ #category : #information }
37	PMScaledProbabilityDensityFunction >> distributionFunction [	×
38	^probabilityDensityFunction distributionFunction	×
39	]	×
40
41	{ #category : #initialization }
42	PMScaledProbabilityDensityFunction >> initialize: aProbabilityDensityFunction binWidth: aNumber count: anInteger [	3✔
43	"Private"	3✔
44		3✔
45	probabilityDensityFunction := aProbabilityDensityFunction.	3✔
46	binWidth := aNumber.	3✔
47	count := anInteger.	3✔
48	^self	3✔
49	]	3✔
50
51	{ #category : #information }
52	PMScaledProbabilityDensityFunction >> parameters [	3✔
53	^probabilityDensityFunction parameters copyWith: count	3✔
54	]	3✔
55
56	{ #category : #display }
57	PMScaledProbabilityDensityFunction >> printOn: aStream [	×
58	super printOn: aStream.	×
59	aStream nextPut: $[;	×
60	nextPutAll: probabilityDensityFunction class distributionName;	×
61	nextPut: $]	×
62	]	×
63
64	{ #category : #transformation }
65	PMScaledProbabilityDensityFunction >> setCount: aNumber [	3✔
66	count := aNumber	3✔
67	]	3✔
68
69	{ #category : #information }
70	PMScaledProbabilityDensityFunction >> value: aNumber [	3✔
71		3✔
72	^(probabilityDensityFunction value: aNumber) * binWidth * count	3✔
73	]	3✔
74
75	{ #category : #information }
76	PMScaledProbabilityDensityFunction >> valueAndGradient: aNumber [	3✔
77	"Answers an Array containing the value of the receiver at aNumber	3✔
78	and the gradient of the receiver's respective to the receiver's	3✔
79	parameters evaluated at aNumber."	3✔
80		3✔
81	\| g temp \|	3✔
82	g := probabilityDensityFunction valueAndGradient: aNumber.	3✔
83	temp := binWidth * count.	3✔
84	^Array with: g first * temp	3✔
85	with: ( (g last collect: [:each \| each * temp]) copyWith: g first * binWidth)	3✔
86	]	3✔

PolyMathOrg / PolyMath / 4385132063

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous