OKR Classifer

Getting Started

Required dependencies:

• Python 3.7
• virtualenv

Setup

• Create a virtual environment: virtualenv venv
• Activate the virtual environment: .\venv\Scripts\activate.ps1 (will vary depending on OS)
• Install dependencies: pip install -r requirements.txt

Running the Classifier

python classifier.py

classifier.py will set up a Keras model and train it using the objective samples in data/objectives.csv. Once trained, it outputs a few predictions, and then serializes the model and tokenizer for later use. (as objectives.h5 and tokenizer.pickle)

Loading a saved model

python load_model.py

load_model.py is an example of how to load a pre-trained model from file and make some predictions using it.