Metadata-Version: 2.1
Name: mlots
Version: 0.0.4.2
Summary: Machine Learning Over Time-Series: A toolkit for time-series analysis
Home-page: http://mlots.readthedocs.io/
Author: Vivek Mahato
Author-email: vivek.mahato@ucdconnect.ie
License: UNKNOWN
Description: # Machine Learning On Time-Series (```MLOTS```)
        
         ![](docs/source/signal.gif)  
         [![Build Status](https://travis-ci.com/vivekmahato/mlots.svg?branch=main)](https://travis-ci.com/vivekmahato/mlots)
        
        ```mlots``` provides Machine Learning tools for Time-Series Classification.
        This package builds on (and hence depends on) ```scikit-learn```, ```numpy```, ```tslearn```, ```annoy```, and ```hnswlib``` libraries.
        
        It can be installed as a python package from the [PyPI](https://pypi.org/project/mlots/) repository.
        
        ## Installation
        
        Install ```mlots``` by running:
        
           <pre><code class="python">pip install mlots
        </code></pre>
        
        After installation, it can be imported to a ```python``` environment to be employed.
        
           <pre><code class="python">import mlots
        </code></pre>
        
        ## Contribute
        
        - Issue Tracker: https://github.com/vivekmahato/mlots/issues
        - Source Code: https://github.com/vivekmahato/mlots
        
        ## Support
        
        If you are having issues, please let us know.
        
        ## License
        
        The project is licensed under the MIT license.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
