How to do Category encoding and string lookup using keras?
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How to do Category encoding and string lookup using keras?

How to do Category encoding and string lookup using keras?

This recipe helps you do Category encoding and string lookup using keras

Recipe Objective

Category encoding and string lookup using keras.

one-hot encoding is the representation of categorical variables as binary vectors.

The keras provides a to_categorical() method. It can encode the strings data into numerical or integer data.

Step 1- Importing Libraries.

from keras.preprocessing.text import one_hot from keras.preprocessing.text import text_to_word_sequence from keras.preprocessing.text import Tokenizer

Step 2- Encoding the text.

Define the text that you want to encode.

#Define text text = 'a book or other written or printed work, regarded in terms of its content rather than its physical form' #Size of the vocabulary words = set(text_to_word_sequence(text)) vocab = len(words)

Step 3- One hot encode the text

# integer encode the document result = one_hot(text, round(vocab_size)) print(result)
[6, 2, 7, 3, 2, 7, 7, 1, 5, 2, 7, 4, 1, 2, 7, 4, 1, 4, 5]

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