QProfiler

QProfiler helps analize quickly your data via a series basic models (classical and quantum) allowing parameter tuning without much code. Furthemore, it helps understand the data charactestics via the use of complexity measures.

Note

Before you start, make sure that you have installed QBioCode correctly by following the Installation guide.

The QProfiler relies on a config.yaml file for tis setting and paremeters. To run the project via the command prompt, you must have a correctly formatted `config.yaml`.

config.yaml Structure

The config.yaml file should be a structured in YAML format. Please refer to the config.yaml file in this repository as an example.

Note

Ensure that the keys in your config.yaml file match the expected configuration parameters. The project will likely fail or behave unexpectedly if the config.yaml file is missing, incorrectly formatted, or contains incorrect values.

Please see also the documentation below for the details of each parameter in the config.yaml in:

• Configure YAML
  • Define the inputs
  • Quantum backend
  • Embedding
  • Train/Test parameters
  • Model selection

Running via command prompt

To run QProfiler use the following command in your terminal

python qprofiler.py --config-name=config.yaml

Help

You can also get extra information using the following command in your terminal

python qprofiler.py --help