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Merge pull request #219 from javascriptdata/rename-file-and-names
Renamed files for class name consistency
2 parents 019b540 + 1a5017a commit 48d9988

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‎package.json‎

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@@ -124,6 +124,9 @@
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"typescript": "^4.5.4"
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},
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"jest": {
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"testPathIgnorePatterns" : [
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"<rootDir>/src/index.test.ts"
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],
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"testEnvironment": "node",
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"preset": "ts-jest",
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"globals": {

src/cluster/kmeans.test.ts renamed to src/cluster/KMeans.test.ts

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import { KMeans } from './kmeans'
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import { KMeans } from './KMeans'
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// Next steps: Improve on kmeans cluster testing
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describe('KMeans', () => {
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it('should save kmeans model', () => {
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const expectedResult = {
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name: 'kmeans',
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name: 'KMeans',
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nClusters: 2,
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init: 'random',
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maxIter: 300,

src/cluster/kmeans.ts renamed to src/cluster/KMeans.ts

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@@ -71,7 +71,7 @@ export class KMeans extends Serialize {
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clusterCenters: tf.Tensor2D
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/** Useful for pipelines and column transformers to have a default name for transforms */
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name = 'kmeans'
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name = 'KMeans'
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constructor({
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nClusters = 8,
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}
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/**
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* Converts 2D input into a 1D Tensor which holds the Kmeans cluster Class label
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* Converts 2D input into a 1D Tensor which holds the KMeans cluster Class label
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* @param X The 2D Matrix that you wish to cluster
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*/
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public predict(X: Scikit2D): tf.Tensor1D {

src/compose/columnTransformer.test.ts renamed to src/compose/ColumnTransformer.test.ts

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import { ColumnTransformer } from './columnTransformer'
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import { MinMaxScaler } from '../preprocessing/minMaxScaler'
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import { SimpleImputer } from '../impute/simpleImputer'
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import { ColumnTransformer } from './ColumnTransformer'
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import { MinMaxScaler } from '../preprocessing/MinMaxScaler'
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import { SimpleImputer } from '../impute/SimpleImputer'
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import * as dfd from 'danfojs-node'
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describe('ColumnTransformer', function () {

src/compose/columnTransformer.ts renamed to src/compose/ColumnTransformer.ts

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@@ -69,7 +69,7 @@ export class ColumnTransformer {
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remainder: Transformer | 'drop' | 'passthrough'
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/** Useful for pipelines and column transformers to have a default name for transforms */
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name = 'columntransformer'
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name = 'ColumnTransformer'
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constructor({
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transformers = [],

src/dummy/dummyClassifier.test.ts renamed to src/dummy/DummyClassifier.test.ts

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import { DummyClassifier } from './dummyClassifier'
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import { DummyClassifier } from './DummyClassifier'
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describe('DummyClassifier', function () {
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it('Use DummyClassifier on simple example (mostFrequent)', function () {
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]
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const y = [10, 20, 20, 30]
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const expectedResult = {
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name: 'dummyclassifier',
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name: 'DummyClassifier',
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EstimatorType: 'classifier',
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constant: 20,
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strategy: 'mostFrequent',

src/dummy/dummyClassifier.ts renamed to src/dummy/DummyClassifier.ts

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@@ -85,7 +85,7 @@ export class DummyClassifier extends ClassifierMixin {
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classes: number[] | string[]
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/** Useful for pipelines and column transformers to have a default name for transforms */
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name = 'dummyclassifier'
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name = 'DummyClassifier'
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constructor({
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strategy = 'mostFrequent',

src/dummy/dummyRegressor.test.ts renamed to src/dummy/DummyRegressor.test.ts

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import { DummyRegressor } from './dummyRegressor'
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import { DummyRegressor } from './DummyRegressor'
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describe('DummyRegressor', function () {
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it('Use DummyRegressor on simple example (mean)', function () {
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]
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const y = [10, 12, 30]
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const saveResult = {
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name: 'dummyregressor',
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name: 'DummyRegressor',
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EstimatorType: 'regressor',
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strategy: 'constant',
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constant: 10

src/dummy/dummyRegressor.ts renamed to src/dummy/DummyRegressor.ts

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@@ -84,7 +84,7 @@ export class DummyRegressor extends RegressorMixin {
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quantile?: number
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/** Useful for pipelines and column transformers to have a default name for transforms */
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name = 'dummyregressor'
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name = 'DummyRegressor'
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constructor({
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strategy = 'mean',

src/ensemble/votingClassifier.test.ts renamed to src/ensemble/VotingClassifier.test.ts

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import { makeVotingClassifier, VotingClassifier } from './votingClassifier'
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import { DummyClassifier } from '../dummy/dummyClassifier'
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import { makeVotingClassifier, VotingClassifier } from './VotingClassifier'
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import { DummyClassifier } from '../dummy/DummyClassifier'
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import { LogisticRegression } from '../linear_model/logisticRegression'
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import { LogisticRegression } from '../linear_model/LogisticRegression'
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describe('VotingClassifier', function () {
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it('Use VotingClassifier on simple example (voting = hard)', async function () {

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