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implement fit fot TokenCountVectorizer
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@ -24,11 +24,6 @@ class TokenCountVectorizer implements Transformer
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*/
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private $vocabulary;
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/**
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* @var array
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*/
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private $tokens;
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/**
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* @var array
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*/
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@ -51,7 +46,7 @@ class TokenCountVectorizer implements Transformer
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*/
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public function fit(array $samples)
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{
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// TODO: Implement fit() method.
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$this->buildVocabulary($samples);
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}
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/**
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@ -59,13 +54,11 @@ class TokenCountVectorizer implements Transformer
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*/
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public function transform(array &$samples)
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{
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$this->buildVocabulary($samples);
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foreach ($samples as $index => $sample) {
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$samples[$index] = $this->transformSample($index);
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foreach ($samples as &$sample) {
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$this->transformSample($sample);
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}
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$samples = $this->checkDocumentFrequency($samples);
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$this->checkDocumentFrequency($samples);
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}
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/**
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@ -86,22 +79,20 @@ class TokenCountVectorizer implements Transformer
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foreach ($tokens as $token) {
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$this->addTokenToVocabulary($token);
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}
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$this->tokens[$index] = $tokens;
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}
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}
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/**
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* @param int $index
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*
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* @return array
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* @param string $sample
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*/
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private function transformSample(int $index)
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private function transformSample(string &$sample)
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{
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$counts = [];
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$tokens = $this->tokens[$index];
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$tokens = $this->tokenizer->tokenize($sample);
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foreach ($tokens as $token) {
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$index = $this->getTokenIndex($token);
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if(false !== $index) {
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$this->updateFrequency($token);
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if (!isset($counts[$index])) {
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$counts[$index] = 0;
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@ -109,6 +100,7 @@ class TokenCountVectorizer implements Transformer
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++$counts[$index];
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}
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}
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foreach ($this->vocabulary as $index) {
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if (!isset($counts[$index])) {
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@ -116,17 +108,17 @@ class TokenCountVectorizer implements Transformer
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}
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}
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return $counts;
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$sample = $counts;
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}
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/**
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* @param string $token
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*
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* @return int
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* @return int|bool
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*/
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private function getTokenIndex(string $token): int
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private function getTokenIndex(string $token)
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{
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return $this->vocabulary[$token];
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return isset($this->vocabulary[$token]) ? $this->vocabulary[$token] : false;
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}
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/**
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@ -156,31 +148,25 @@ class TokenCountVectorizer implements Transformer
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*
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* @return array
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*/
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private function checkDocumentFrequency(array $samples)
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private function checkDocumentFrequency(array &$samples)
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{
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if ($this->minDF > 0) {
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$beyondMinimum = $this->getBeyondMinimumIndexes(count($samples));
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foreach ($samples as $index => $sample) {
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$samples[$index] = $this->resetBeyondMinimum($sample, $beyondMinimum);
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foreach ($samples as &$sample) {
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$this->resetBeyondMinimum($sample, $beyondMinimum);
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}
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}
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return $samples;
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}
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/**
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* @param array $sample
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* @param array $beyondMinimum
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*
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* @return array
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*/
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private function resetBeyondMinimum(array $sample, array $beyondMinimum)
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private function resetBeyondMinimum(array &$sample, array $beyondMinimum)
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{
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foreach ($beyondMinimum as $index) {
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$sample[$index] = 0;
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}
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return $sample;
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}
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/**
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@ -37,10 +37,12 @@ class TokenCountVectorizerTest extends \PHPUnit_Framework_TestCase
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];
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$vectorizer = new TokenCountVectorizer(new WhitespaceTokenizer());
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$vectorizer->transform($samples);
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$this->assertEquals($tokensCounts, $samples);
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$vectorizer->fit($samples);
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$this->assertEquals($vocabulary, $vectorizer->getVocabulary());
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$vectorizer->transform($samples);
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$this->assertEquals($tokensCounts, $samples);
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}
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public function testMinimumDocumentTokenCountFrequency()
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@ -69,11 +71,14 @@ class TokenCountVectorizerTest extends \PHPUnit_Framework_TestCase
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];
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$vectorizer = new TokenCountVectorizer(new WhitespaceTokenizer(), 0.5);
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$vectorizer->transform($samples);
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$this->assertEquals($tokensCounts, $samples);
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$vectorizer->fit($samples);
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$this->assertEquals($vocabulary, $vectorizer->getVocabulary());
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$vectorizer->transform($samples);
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$this->assertEquals($tokensCounts, $samples);
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// word at least once in all samples
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$samples = [
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'Lorem ipsum dolor sit amet',
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@ -88,6 +93,7 @@ class TokenCountVectorizerTest extends \PHPUnit_Framework_TestCase
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];
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$vectorizer = new TokenCountVectorizer(new WhitespaceTokenizer(), 1);
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$vectorizer->fit($samples);
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$vectorizer->transform($samples);
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$this->assertEquals($tokensCounts, $samples);
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