SensiML 2.3.13

SensiML Analytic Suite Python client

SensiML 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

pip install sensiml

jupyter contrib nbextension install –user

jupyter nbextension enable bqplot

jupyter nbextension enable ipywidgets

jupyter nbextension enable qgrid

or download the Analytic Studio

https://sensiml.cloud/downloads

Connect to SensiML Analytic Engine

from sensiml import SensiML

sml = SensiML()

(Note: Connecting to SensiML servers requires and account to log in)

Go to https://sensiml.com/ to learn more about using our platform to build

machine learning models suitable for performing real-time timeseries classification on embedded devices.