hypothesis-parser

This repository has two basic functions. First, it can generate artificial hypotheses given a domain file, and second, estimate its quality following the advice provided in (Kroeze et al., 2019). This domain file should be defined in the format of a grammar, with a defined set of elements.

To see how the grammar/domain file looks like, take a look in the examples/ folder.

Instructions / How to use?

There are not installation setup for these scripts as a pip module. Instead, you need to install some requirements, and run the scripts with the command line interface, as described below.

$ pip install - r requirements.txt

To generate hypothesis and save them into a file:

$ python generate_hypothesis.py \
  --domain_file=examples/temperature.json \
  --n_hypotheses=100 \
  --output_file=hypothesis_out.txt

To evaluate a hypothesis with the command line interface:

$ python hypothesis_parser.py \
  --hypothesis="if temperature increases then brightness increases" \
  --domain_file=examples/temperature.json`