cognitive-js - npm Package Compare versions

Comparing version 1.0.7 to 1.1.0

__test__/base.test.js

@@ -1,4 +0,4 @@
-import { compose, sFn, isSquare, swap, sFill } from "../lib/base"
+import { compose, sFn, isSquare, swap, sFill } from '../lib/base'
 
-test("base", () => {
+test('base', () => {
   expect(
@@ -5,0 +5,0 @@ compose(

__test__/dataframe.math.test.js

@@ -10,3 +10,7 @@ import {
   divide,
-  abs
+  abs,
+  zeros,
+  random,
+  dot,
+  fill
 } from '../lib/data-frame'
@@ -94,1 +98,40 @@
 })
+
+test('zeros', () => {
+  expect(zeros(1, 2)).toEqual([[0, 0]])
+  expect(zeros(2, 3)).toEqual([
+    [0, 0, 0],
+    [0, 0, 0]
+  ])
+})
+
+test('random', () => {
+  expect(random(1, 2)[0].length).toEqual(2)
+  expect(random(2, 3)[0].length).toEqual(3)
+  expect(random(2, 3).length).toEqual(2)
+})
+
+test('dot', () => {
+  expect(
+    dot(
+      [[0.5488135039273248], [0.7151893663724195]],
+      [[0.10549716166494752], [0.10549716166494752]]
+    )
+  ).toEqual([[0.05789826694772729], [0.07545044820524252]])
+
+  expect(dot([3, 4, 5], [7, 8, 9])).toEqual(98)
+
+  expect(dot(2, 3)).toEqual(6)
+
+  expect(
+    dot([[0.5488135039273248], [0.7151893663724195]], 0.10549716166494752)
+  ).toEqual([[0.05789826694772729], [0.07545044820524252]])
+
+  expect(
+    dot([[0.5488135039273248], [0.7151893663724195]], [[0.10549716166494752]])
+  ).toEqual([[0.05789826694772729], [0.07545044820524252]])
+})
+
+test('fill', () => {
+  expect(fill(1, 3)).toEqual([1, 1, 1])
+})

__test__/determinant.test.js

@@ -1,7 +0,6 @@
-import { determinant } from "../lib/algorithms/determinant"
+import { determinant } from '../lib/algorithms/determinant'
 
-test("base", () => {
-
+test('base', () => {
   expect(
-    determinant([[1,2,3], [1,2,3]])
+    determinant([[1, 2, 3], [1, 2, 3]])
   ).toEqual(0)
@@ -8,0 +7,0 @@

__test__/series.test.js

@@ -1,7 +0,7 @@
-import { sDouble, sReverse } from "../lib/series"
+import { sDouble, sReverse } from '../lib/series'
 
-test("base", () => {
+test('base', () => {
   expect(sDouble([1, 2])).toEqual([2, 4])
-  
+
   expect(sReverse([1, 2])).toEqual([2, 1])
 })

lib/base/index.js

@@ -23,11 +23,11 @@ import _ from 'lodash'
 
-export const rot = _.memoize((x) =>
+export const transpose = _.memoize((x) =>
   _.map(_.first(x), (_v, i) => _.reverse(_.map(x, (r) => r[i])))
 )
 
-export const rotC = _.memoize((x) =>
+export const inverseTranspose = _.memoize((x) =>
   _.map(_.first(x), (_v, i) => _.map(x, (r) => r[_.size(r) - 1 - i]))
 )
 
-export const shape = _.memoize((x) => [_.size(x), _.size(rot(x))])
+export const shape = _.memoize((x) => [_.size(x), _.size(transpose(x))])
 
@@ -37,1 +37,9 @@ export const isSquare = _.memoize(
 )
+
+export const isSameShape = (x, y) =>
+  _.get(shape(x), 0) === _.get(shape(y), 0) &&
+  _.get(shape(x), 1) === _.get(shape(y), 1)
+
+export const is1d = (x) => _.get(shape(x), 0) === 1
+
+// implement train test split random based on test size.

lib/data-frame/index.js

@@ -0,20 +1,70 @@
+import _ from 'lodash'
 import * as b from '../base'
 import * as s from '../series'
 
-export const mean = (x) => b.compose(b.rot, (x) => b.sFn(x, s.sMean), b.rotC)(x)
+export const mean = (x) =>
+  b.compose(b.transpose, (x) => b.sFn(x, s.sMean), b.inverseTranspose)(x)
 
-export const sqrt = (x) => b.compose(b.rot, (x) => b.sFn(x, s.sSqrt), b.rotC)(x)
+export const sqrt = (x) =>
+  b.compose(b.transpose, (x) => b.sFn(x, s.sSqrt), b.inverseTranspose)(x)
 
-export const stddev = (x) => b.compose(b.rot, (x) => b.sFn(x, s.sStd))(x)
+export const stddev = (x) => b.compose(b.transpose, (x) => b.sFn(x, s.sStd))(x)
 
-export const cumSum = (x) => b.compose(b.rotC, (x) => b.sFn(x, s.sCumSum), b.rot)(x)
+export const cumSum = (x) =>
+  b.compose(b.inverseTranspose, (x) => b.sFn(x, s.sCumSum), b.transpose)(x)
 
-export const add = (x) => b.compose(b.rot, (x) => b.sFn(x, s.sAdd))(x)
+export const add = (x) => b.compose(b.transpose, (x) => b.sFn(x, s.sAdd))(x)
 
-export const subtract = (x) => b.compose(b.rot, (x) => b.sFn(x, s.sSubtract))(x)
+export const subtract = (x) =>
+  b.compose(b.transpose, (x) => b.sFn(x, s.sSubtract))(x)
 
-export const divide = (x) => b.compose(b.rot, (x) => b.sFn(x, s.sDivide))(x)
+export const divide = (x) =>
+  b.compose(b.transpose, (x) => b.sFn(x, s.sDivide))(x)
 
-export const multiply = (x) => b.compose(b.rot, (x) => b.sFn(x, s.sMultiply))(x)
+export const multiply = (x) =>
+  b.compose(b.transpose, (x) => b.sFn(x, s.sMultiply))(x)
 
 export const abs = (x) => b.sFn(x, s.sAbs)
+
+export const fill = (i, t) => _.fill(Array(t), i)
+
+export const zeros = (r, c) => _.map(_.times(r, () => s.sZeros(c)))
+
+export const random = (r, c, min, max) =>
+  _.map(_.times(r, () => s.sRandom(c, min, max)))
+
+export const pow = (x, p) => b.sFn(x, (x) => s.sPow(x, p))
+
+export const dot = (x, y) => {
+  if (_.isNumber(x) && _.isNumber(y)) {
+    return s.sMultiply([x, y])
+  }
+
+  if (_.get(b.shape(x), 1) === 0 && _.get(b.shape(y), 1) === 0) {
+    return _.sum(multiply([x, y]))
+  }
+
+  if (b.is1d(x) && b.is1d(y)) {
+    return _.sum(multiply([x[0], y[0]]))
+  }
+
+  if (b.isSameShape(x, y)) {
+    return _.map(multiply([x, y]), (xy) => [xy])
+  }
+
+  if (_.isNumber(y) && _.get(b.shape(x), 1) === 1) {
+    return _.map(
+      multiply([x, _.fill(Array(_.get(b.shape(x), 0)), y)]),
+      (xy) => [xy]
+    )
+  }
+
+  if (b.is1d(y) && _.get(b.shape(x), 1) === 1) {
+    return _.map(
+      multiply([x, _.fill(Array(_.get(b.shape(x), 0)), _.get(y, [0, 0]))]),
+      (xy) => [xy]
+    )
+  }
+
+  return undefined
+}

lib/series/index.js

@@ -11,3 +11,3 @@ import _ from 'lodash'
 
-export const sDivide = (ns, x) => _.reduce(ns, (a, b) => a / b)
+export const sDivide = (ns) => _.reduce(ns, (a, b) => a / b)
 
@@ -27,2 +27,6 @@ export const sMultiply = (ns) => _.reduce(ns, (a, b) => a * b)
 
+export const sZeros = (n) => _.fill(Array(n), 0, 0)
+
+export const sRandom = (n, min = 0, max = 1) => _.fill(Array(n), _.random(min, max, true))
+
 export const sCumSum = (ns) =>
@@ -36,1 +40,3 @@ _.map(
   )
+
+export const sPow = (ns, p) => _.map(ns, (x) => x ** p)

package.json

 {
   "name": "cognitive-js",
-  "version": "1.0.7",
+  "version": "1.1.0",
   "description": "",
@@ -5,0 +5,0 @@ "main": "index.js",

New alerts

Major refactor

Supply chain risk

Package has recently undergone a major refactor. It may be unstable or indicate significant internal changes. Use caution when updating to versions that include significant changes.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

13529

increased by99.99%

Number of package files

19

increased by11.76%

Lines of code

550

increased by127.27%

Worsened metrics

Number of medium supply chain risk alerts

1

increased byInfinity%

No dependency changes