SensiML Analytic Suite Python Dev 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.
Download the Analytic Studio which will install a python 3 environment along with all the requirements to run the SensiML Library.
You can also install directly from pypy repository using pip. We recommend having python >= 3.7
pip install sensiml
pip install sensiml_widgets -U
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
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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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