Similarity Server

Gensim Machine Learning simserver implementation in Python for the purpose of matching words according to keyword. Lensity Repo

Team

• Product Owner: Josphine Eng
• Scrum Master: Julie Truong
• Development Team Members: Brian Kilrain

Table of Contents

1. Team
2. Docker Development
   1. Build Image
   2. Train Corpus
3. Contributing

Docker Development

Build Image

In root folder run:

docker build -t simserver:01 .

Create Training Corpus

• Upload training photos to S3

• naming convention: http://url.com/path/to/photo/im1342.jpg... im1343.jpg... im1344.jpg

• In curator/routes.js -> set training counter to first image file number (line 16)
• Uncomment volume to trainingCorpus.json in yml file
• Send POST request to main-web-server/kickoffTraining with postman
• Copy and paste data in trainingCorpus.json in curator to trainingCorpus.json in simserver

Training

Once Docker compose is running:

• Use Postman to send POST request to http://0.0.0.0:5000/train

Contributing

See CONTRIBUTING.md for contribution guidelines.