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feat(nlp-spacy/ex1): update subject and audit
- clarify required goal of exercise. - update audit question to avoid floating issues.
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@ -59,7 +59,12 @@ I recommend to use:
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The goal of this exercise is to learn to load an embedding on `spaCy`.
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1. Install and load `en_core_web_sm` version `3.4.1` [embedding](https://github.com/explosion/spacy-models/releases/tag/en_core_web_sm-3.4.1). Compute the embedding of `car`.
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1. Install and load `en_core_web_sm` version `3.4.1` [embedding](https://github.com/explosion/spacy-models/releases/tag/en_core_web_sm-3.4.1).
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Compute the embedding of `car` and print out its shape.
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2. Print out the sum of the first 20 values of the `car` embedding. The result
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must be printed out using
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[`float.as_integer_ration()`](https://docs.python.org/3/library/stdtypes.html#float.as_integer_ratio)
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---
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@ -94,7 +99,7 @@ The goal of this exercise is to learn to use `spaCy` embedding on a document.
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![alt text][logo]
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[logo]: ./w3day05ex1_plot.png "Plot"
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[logo]: ./w3day05ex1_plot.png 'Plot'
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https://medium.com/datadriveninvestor/cosine-similarity-cosine-distance-6571387f9bf8
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@ -18,7 +18,7 @@
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###### For question 1, is the embedding's shape `(96,)`?
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###### Do the 20 first values of the vector sum to `2.9790137708187103`?
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###### For question 2, do the 20 first values of the vector sum to `(99959115, 33554432)`?
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---
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@ -58,7 +58,7 @@
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![alt text][logo]
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[logo]: ../w3day05ex1_plot.png "Plot"
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[logo]: ../w3day05ex1_plot.png 'Plot'
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---
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