edge-ml 0.0.9

Python library of edge-ml.org: end-to-end machine learning for embedded devices

edge-ml python

Python package for edge-ml.org.

Usage

Installation

Install edge-ml using the follwing command.

pip install edge-ml

Retrieve Project

This functionality comes in handy if you would like to train a machine learning model from edge-ml data.

from edgeml import edgeml

# get the API key from the settings of your project
project = edgeml.getProject("https://app.edge-ml.org", PROJECT_API_KEY) 

Push Data from Python

from edgeml import edgeml
import time

key = "YOUR_API_KEY"
startTime = time.time()
collector = edgeml.datasetCollector("https://app.edge-ml.org",
                                    key,
                                    "Example Dataset", # name the dataset you would like to upload
                                    False) # do not use server timestamps

for i in range(500):
    current_time = startTime + i * 10 # adding samples at 10 ms time steps
    collector.addDataPoint("Accelerometer X", random.randint(1,50) / 10.0, current_time) 
    collector.addDataPoint("Accelerometer Y", random.randint(1,50) / 10.0, current_time) 
    collector.addDataPoint("Accelerometer Z", random.randint(1,50) / 10.0, current_time) 

collector.onComplete()

Development

Testing

To run the tests please enter:

python -m unittest -v tests/all.py