A project to get measures of similarity between two timeseries datasets using 8 similarity measures.
Steps to run the project:
-
Clone the project.
-
If using Conda:
Prerequisites:
- Conda
- Any latest Web Browser
- Open Conda Command Prompt.
- cd into Gensim_utility\
- Create the project env and install dependencies with
conda env create -f projectgs.yml
- Activate the env with
activate projectgs
- cd into myproject\
- Run the project with
python3 manage.py runserver
- Open your preferred web browser
- Go to http://127.0.0.1:8000
- To use Admin: username:admin and password:a1s2d3f4
- Explore and use Gensim Utility
-
If using Pip: Prerequisites:
- Pip, Python 3.7+
- Any latest Web Browser
- Open cmd.
- cd into Gensim_utility\
- Create a env called 'projectgs' with
python3 -m venv projectgs
- Activate the env with
source projectgs/bin/activate
- Install the dependencies with
pip install -r requirements.txt
- cd into myproject\
- Run the project with
python3 manage.py runserver
- Open your preferred web browser
- Go to http://127.0.0.1:8000
- To use Admin: username:admin and password:a1s2d3f4
- Explore and use Gensim Utility
- Open the sidebar by clicking on Menu button.
- Click on Similarity Generation option.
- Choose a dataset each from the preloaded datasets from each dropdown menu on the screen.
- Click Submit button under both menus to confirm your selection.
- You can also import time series datasets(with timestamp in the first column) by clicking on the Import dataset radio button and pasting the URLs in the text boxes that appear.
- Click Submit button to confirm your URLs.
- Click on the generate button and wait for the results to be generated. It may take a while depending on the datasets chosen.
- A new page Visualisation appears. Explore the steps taken and the graphs generated for both datasets during the process.
- At the bottom of the screen it shows the 8 similarity measures calculated for the chosen datasets.
- Click on the Download report button and wait for a few seconds to get the onscreen results in a pdf format.
Visit a demo on https://demo-gensimutility.herokuapp.com/