Usage

Installation

To use QPrism, the installation can be done with pip. Since pip does not resolve the dependencies’ version efficiently, please install QPrism with the following steps.

$ python3 -m pip install --upgrade pip

$ pip install -r https://raw.githubusercontent.com/aid4mh/QPrism/main/requirements.txt

$ pip install --no-deps QPrism

Examples

We have provided detailed demo notebooks for each submodule.

Sensor

Demo for QA a single record can be accessed here.

Demo for QA multiple records in a directory can be accessed here.

We have also provided demos that can validate the integrity of our DQM metrics, those demos can be accessed in the test folder at here, any notebook with the name <DQM_name>_testing.ipynb is the validation demo.

We have a code template that the user can use with minor modifications to the input data.

Note that the input dataframe should only contains numerical values. If there are non-numerical values, either a timestamp or a text entry, please refer here for an example of solution.

Video

Demo for QA video(s) can be accessed here.

Audio

Demo for QA audio(s) can be accessed here.