Metadata-Version: 2.1
Name: sensiml-dev
Version: 2020.1.0
Summary: Developmenter version of SensiML Python client
Home-page: UNKNOWN
Author: SensiML
Author-email: support@sensiml.com
License: Proprietary
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: cookiejar (==0.0.2)
Requires-Dist: requests (>=2.14.2)
Requires-Dist: requests-oauthlib (>=0.7.0)
Requires-Dist: appdirs (==1.4.3)
Requires-Dist: semantic-version (>=2.6.0)
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib (>=2.0.0)
Requires-Dist: seaborn
Requires-Dist: wurlitzer
Requires-Dist: pyserial
Requires-Dist: prompt-toolkit (<=1.0.4) ; python_version < "3"
Requires-Dist: prompt-toolkit (>=2.0.5) ; python_version >= "3"

===========================
SensiML Python CLient - Dev
===========================

SensiML dev python client provides access to SensiML Analytics services 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-dev -U


The sensiml dev python client does not include the interactive dashboard version and therefore has a simpler
install.


----------------------------------
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 *

    sml = SensiML()

Connecting to SensiML servers requires and account, you can register at https://sensiml.cloud/accounts/register

Documentation can be found here https://sensiml.atlassian.net/wiki/spaces/SS/overview 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




