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statsLibrary.js
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154 lines (153 loc) · 5.84 KB
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define([
], function () {
/**
* name
* library
* description
* code
* options: [
* {
* name
* label
* [optional]
* component :
* - 1darr / 2darr / ndarr / scalar / param / dtype / tabblock
* default
* required
* usePair
* code
* }
* ]
*/
var STATS_LIBRARIES = {
/** Discrete prob. dist. */
'bernoulli': {
name: 'Bernoulli',
import: 'from scipy import stats',
code: '_rv = stats.bernoulli(${p})',
description: 'A Bernoulli discrete random variable.',
options: [
{ name: 'p', component: ['input_number'], value: 0.6, required: true, usePair: true },
]
},
'binomial': {
name: 'Binomial',
import: 'from scipy import stats',
code: '_rv = stats.binom(${n}${p})',
description: 'A binomial discrete random variable.',
help: '_vp_stats.binom',
options: [
{ name: 'n', component: ['input_number'], value: 10, required: true, usePair: true },
{ name: 'p', component: ['input_number'], value: 0.6, required: true, usePair: true },
]
},
'multinomial': {
name: 'Multinomial',
import: 'from scipy import stats',
code: '_rv = stats.multinomial(${n}${p})',
description: 'A multinomial random variable.',
help: '_vp_stats.multinomial',
options: [
{ name: 'n', component: ['input_number'], value: 10, required: true, usePair: true },
{ name: 'p', component: ['data_select'], value: '[0.4, 0.6]', required: true, usePair: true },
]
},
/** Continumous prob. dist. */
'uniform': {
name: 'Uniform',
import: 'from scipy import stats',
code: '_rv = stats.uniform()',
description: 'A uniform continuous random variable.',
help: '_vp_stats.uniform',
options: [
]
},
'normal': {
name: 'Normal',
import: 'from scipy import stats',
code: '_rv = stats.norm(${loc}${scale})',
description: 'A normal continuous random variable.',
help: '_vp_stats.norm',
options: [
{ name: 'loc', component: ['input_number'], value: 0, usePair: true },
{ name: 'scale', component: ['input_number'], value: 1, usePair: true },
]
},
'beta': {
name: 'Beta',
import: 'from scipy import stats',
code: '_rv = stats.beta(${a}${b})',
description: 'A beta continuous random variable.',
help: '_vp_stats.beta',
options: [
{ name: 'a', component: ['input_number'], required: true, usePair: true },
{ name: 'b', component: ['input_number'], required: true, usePair: true },
]
},
'gamma': {
name: 'Gamma',
import: 'from scipy import stats',
code: '_rv = stats.gamma(${a})',
description: 'A gamma continuous random variable.',
help: '_vp_stats.gamma',
options: [
{ name: 'a', component: ['input_number'], required: true, usePair: true },
]
},
'studentst': {
name: "Student's t",
import: 'from scipy import stats',
code: '_rv = stats.t(${df})',
description: "A Student's t continuous random variable.",
help: '_vp_stats.t',
options: [
{ name: 'df', component: ['input_number'], required: true, usePair: true },
]
},
'chi2': {
name: 'Chi2',
import: 'from scipy import stats',
code: '_rv = stats.chi2(${df})',
description: 'A chi-squared continuous random variable.',
help: '_vp_stats.chi2',
options: [
{ name: 'df', component: ['input_number'], required: true, usePair: true },
]
},
'f': {
name: 'F',
import: 'from scipy import stats',
code: '_rv = stats.f(${dfn}${dfd})',
description: 'An F continuous random variable.',
help: '_vp_stats.f',
options: [
{ name: 'dfn', component: ['input_number'], required: true, usePair: true },
{ name: 'dfd', component: ['input_number'], required: true, usePair: true },
]
},
'dirichlet': {
name: 'Dirichlet',
import: 'from scipy import stats',
code: '_rv = stats.dirichlet(${alpha}${seed})',
description: 'A Dirichlet random variable.',
help: '_vp_stats.dirichlet',
options: [
{ name: 'alpha', component: ['input'], required: true, usePair: true, value: '(3,5,2)', placeholder: '(x, y, z)' },
{ name: 'seed', component: ['input_number'], usePair: true },
]
},
'multivariate_normal': {
name: 'Multivariate normal',
import: 'from scipy import stats',
code: '_rv = stats.multivariate_normal(${mean}${cov}${allow_singular})',
description: 'A multivariate normal random variable.',
help: '_vp_stats.multivariate_normal',
options: [
{ name: 'mean', component: ['data_select'], value: '[0]', usePair: true },
{ name: 'cov', component: ['data_select'], value: '[1]', usePair: true },
{ name: 'allow_singular', component: ['bool_select'], default: 'False', usePair: true },
]
},
}
return STATS_LIBRARIES;
});