https://github.com/matrix-profile-foundation/pydata2020
Presentation materials for PyData 2020: Matrix Profile API: A novel cross-language API for time series analysis
https://github.com/matrix-profile-foundation/pydata2020
Last synced: 3 months ago
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Presentation materials for PyData 2020: Matrix Profile API: A novel cross-language API for time series analysis
- Host: GitHub
- URL: https://github.com/matrix-profile-foundation/pydata2020
- Owner: matrix-profile-foundation
- Created: 2020-09-16T01:54:50.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-10-09T10:26:29.000Z (over 4 years ago)
- Last Synced: 2025-01-25T18:19:20.286Z (4 months ago)
- Language: Jupyter Notebook
- Size: 765 KB
- Stars: 0
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
Overview
========
This repository is used to re-create the plots and code for the PyData Global 2020 presentation.
Setup
=====
This code base utilizes anaconda for environmental dependencies. You may obtain anaconda [here](https://www.anaconda.com/distribution/).
Checkout the repository:
```
git clone https://github.com/matrix-profile-foundation/pydata2020.git pydata2020-mpf
```
Install dependencies:
```
cd pydata2020-mpf
conda env create -f environment.yaml
conda activate pydata2020-mpf
# for a jupyter kernel with the conda environment
python -m ipykernel install --user --name=pydata2020-mpf
```
Code Execution
==============
The code is distributed using Jupyter notebooks. You may launch jupyter lab and view the notebooks with the following commands (assuming you are still in the local repository directory).
```
jupyter lab
```
Order of Review
===============
It is suggested, not required, to review the notebooks in the following order:
1. Dataset Overview
2. Transform Dataset
3. Computing Distance Matrix
4. MPDist vs Euclidean
5. MPDist vs DTW
6. Hierarchical Clustering
7. HDBScan Clustering