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Use microclassifiers in the cloud for spam detection, sentiment analysis and more.
The Classr SDK for Python can be installed using pip
:
pip install classr
Initiaize your microclassifier by passing its UUID to the Classr
constructor like so:
from classr import Classr
# Initialize cloud microclassifier.
classifier = Classr('acd78708-850b-4cea-aeaa-23cec50d13b6')
Now, call the classify
or get_info
functions of classifier
to make use of it:
# Classify unseen input.
document = input('Enter your input: ')
print(f'Predicted class: {classifier.classify(document)}')
# Print macro F1 score of classifier.
info = classifier.get_info()
print(f'Classifier macro F1 score is: {info.f1_score}')
If you'd like to use a self-hosted deployment of the Classr application (i.e. not the default official API), you can
pass a different base URL when constructing your Classr
object:
from classr import Classr
# Initialize cloud microclassifier.
classifier = Classr('acd78708-850b-4cea-aeaa-23cec50d13b6', 'https://self-hosted-classr.example.com/')
This SDK is for the official Classr application (but will work with a self-hosted deployment too, of course).
FAQs
Use microclassifiers in the cloud for spam detection, sentiment analysis and more.
We found that classr demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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