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Statistics on how well the floor and ceiling angle deviation model performs.

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TestCase

Statistics on how well the floor and ceiling angle deviation model performs.

Getting Started

This is an example of how you may setup project locally. To get a local copy up and running follow these simple example steps.

Installation

  1. Clone repo
git clone https://github.com/OleksijShtoltz/TestCase.git
  1. Open console from project folder and activate venv
\Scripts\activate

or

\Scripts\activate.bat 
  1. Install packages
pip install -r requirements.txt
  1. Create kernel for Jupyter Notebook
 python -m ipykernel install —name=env_kernel
  1. Run Jupyter Notebook
jupyter notebook
  1. Select Notebook.ipynb on opened tab

Usage

Change installed kernel image

In the "Draw plot" block, specify the path to the dataset in the variable path After running the code, you will see the plots in the output and the path to the plots images.

Example plot image

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Statistics on how well the floor and ceiling angle deviation model performs.

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