Example using Seldon for text classification with SpaCy tokenizer

[axsaucedo]

Overview

This PR contains an example for a Python logistic regression model that is used to automate the moderation of reddit comments. It's intended to show how Seldon can be used for
text processing use-cases, in this case specifically focused on text classification. It also shows how it's possible to take advantage of the SpaCy tokenizer, which is currently a very popular and useful tool used in production in many NLP projects.

Notebook

The notebook can be previewed here: https://github.com/axsauze/seldon-core/blob/sklearn_spacy_text_example/examples/models/sklearn_spacy_text/sklearn_spacy_text_classifier_example.ipynb

Contents

• Download reddit comment dataset
• Text classification model with:
  • Text cleaner pre-processor
  • SpaCy tokenizer
  • TFIDF vectorizer
  • Logistic Regression model
• Docker example
• Kubernetes example

[jklaise]

Looks good to me!