Metadata-Version: 1.1
Name: SensiML
Version: 2021.2.1
Summary: SensiML Analytic Suite Python client
Home-page: UNKNOWN
Author: SensiML
Author-email: support@sensiml.com
License: Proprietary
Description: ======================
        SensiML Python Client
        ======================
        
        SensiML python client provides programmatic interface to SensiML REST API's for
        building machine learning pipelines including data processing, feature
        generation and classification for developing smart sensor algorithms optimized
        to run on embedded devices.
        
        ------------
        Installation
        ------------
        
        Download the Analytic Studio which will install a python 3 environment  along with all the requirements 
        to run the SensiML Library.
        
            https://sensiml.com/download/
        
        
        You can also install directly from pypy repository using pip. We recommend  having python >= 3.7
        
            pip install sensiml
            
        Our library is designed to be used within a jupyter notebook. For our
        GUI to work correctly you will need to also install nbextension to
        jupyter notebook. Installation instructions can be found here
        
        https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/install.html
        
        You will need to enable the following extensions. bqplot, ipywidgets and qgrid.
        
            jupyter contrib nbextension install --sys-prefix
        
            jupyter nbextension enable --sys-prefix bqplot
        
            jupyter nbextension enable--sys-prefix ipywidgets
        
            jupyter nbextension enable --sys-prefix qgrid
        
        ----------------------------------
        Connect to SensiML Analytic Engine
        ----------------------------------
        
        Once you have installed the software, you can connect to the server by running the following
        in a notebook cell.
        
            from sensiml import *
        
            dsk = SensiML()
        
        Connecting to SensiML servers requires and account, you can register at https://sensiml.com
        
        Documentation can be found here https://sensiml.com/documentation/ as well as in the Analytic Studio.
        
        For information about SensiML, to get in touch, or learn more about using our platform to build
        machine learning models suitable for performing real-time timeseries
        classification on embedded devices you can reach us at https://sensiml.com/#contact
        
        
        
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
