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added 7 commits
January 27, 2025 15:48
…n't work but fingers crossed
…fixed a bug in how periods were handled in the tokenize method
…test in UnigramWordPredictorTest is passing
…/fear_and_loathing.txt for having the entire Fear And Loathing book in .txt format free online) and ensured the results were ridiculous. working as intended
auberonedu
reviewed
Feb 18, 2025
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| Fear And Loathing In Las Vegas | ||
| A Savage Journey To The Heart Of The American Dream | ||
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| By Hunter S. Thompson |
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I've been meaning to read this! I liked what I read of Fear and Loathing on the Campaign Trail.
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| fear and beat cooling down at a grey formica shelf where my attorney's naked fourteen year of vegas for a doctor of course, that the ship's bells tolled frantically, the chp and i wondered if the wheel . "jesus christ," he said . a series of their shotguns, | ||
| about ten - was a polynesian bar, drinking singapore slings with his eyes were coming to try to boulder highway . "i'm the ford was shocked to catch us under the silver blade away and scour the fbi make that skunk from her trailer last long as he finally . some |
| return null; | ||
| } | ||
| } | ||
| // I referenced this to remember string methods https://www.w3schools.com/java/java_ref_string.asp |
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| while (scanner.hasNext()) { | ||
| String token = scanner.next().toLowerCase(); | ||
| // I originally used a -1 to target the index at the end of the string but soon realized that is used for python but not java | ||
| if (token.endsWith(".")) { | ||
| token = token.substring(0, (token.length() - 1)); | ||
| tokenList.add(token); | ||
| tokenList.add("."); | ||
| } | ||
| else { | ||
| tokenList.add(token); | ||
| } | ||
| } |
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| @Test | ||
| void testTokenizeWithManySpaces() { | ||
| LowercaseSentenceTokenizer tokenizer = new LowercaseSentenceTokenizer(); | ||
| Scanner scanner = new Scanner("hello hi hi hi hello hello this text has many spaces"); | ||
| List<String> tokens = tokenizer.tokenize(scanner); | ||
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| assertEquals(List.of("hello", "hi", "hi", "hi", "hello", "hello", "this", "text", "has", "many", "spaces"), tokens); | ||
| } |
| */ | ||
| public void train(Scanner scanner) { | ||
| List<String> trainingWords = tokenizer.tokenize(scanner); | ||
| this.neighborMap = new HashMap<String, List<String>>(); |
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You can just use <> and Java should infer the generic types.
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| for (String token : trainingWords) { | ||
| if (!this.neighborMap.containsKey(token)) { | ||
| List<String> followingTokens = new ArrayList<String>(); | ||
| for (int i = 0; i < trainingWords.size(); i++) { | ||
| if (trainingWords.get(i).equals(token) && i != (trainingWords.size() - 1)) { | ||
| followingTokens.add(trainingWords.get(i + 1)); | ||
| } | ||
| } | ||
| this.neighborMap.put(token, followingTokens); | ||
| } | ||
| } |
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| Random gen = new Random(); | ||
| String currentWord = context.get(context.size() - 1); | ||
| int randomSelection = gen.nextInt(this.neighborMap.get(currentWord).size()); | ||
| String predictedWord = this.neighborMap.get(currentWord).get(randomSelection); | ||
| return predictedWord; |
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My training data is quite large but I believe it is 100% worth it.