Thoughtful Machine Learning: A Test-Driven Approach by Kirk Matthew

Author:Kirk, Matthew [Kirk, Matthew]
Language: eng
Format: azw3, epub, pdf
Tags: Itzy, Kickass.so
ISBN: 9781449374068
Publisher: O'Reilly Media
Published: 2014-09-26T04:00:00+00:00

quick

1

brown

2

fox

3

Now that we know what indices are attached to which words, we can take our string “the fox” and make a new row vector, which would look like Table 6-2.

Table 6-2. Row vector Words the quick brown fox

Indices

0

1

2

3

“the fox”

1

0

0

1

So in the case of “the fox” we only set the index 0 and 3 to 1. This seems like a good idea until you realize that most times a corpus of training data can contain thousands of words and indices. So our row vectors would be over 90% 0s and under 10% 1s for each string. Instead, we should think about using a sparse vector or hash in Ruby.

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