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You're reading from  Java Deep Learning Cookbook

Product typeBook
Published inNov 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781788995207
Edition1st Edition
Languages
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Author (1)
Rahul Raj
Rahul Raj
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Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.
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Evaluating the model

We need to check the feature vector quality during the evaluation process. This will give us an idea of the quality of the Word2Vec model that was generated. In this recipe, we will follow two different approaches to evaluate the Word2Vec model.

How to do it...

  1. Find similar words to a given word:
Collection<String> words = model.wordsNearest("season",10); 

You will see an n output similar to the following:

week
game
team
year
world
night
time
country
last
group
  1. Find the cosine similarity of the given two words:
double cosSimilarity = model.similarity("season","program");
System.out.println(cosSimilarity);

For the preceding example, the cosine similarity is calculated as...

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Java Deep Learning Cookbook
Published in: Nov 2019Publisher: PacktISBN-13: 9781788995207

Author (1)

author image
Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.
Read more about Rahul Raj