SensiML Analytic Suite Python client
Project description
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
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.
Project details
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