Skip to main content

Bloom tricks for text pipelines in scikit-learn.

Project description

scikit-bloom

Bloom tricks for text pipelines in scikit-learn. To learn more about this trick, check out this blogpost.

You can install it via:

python -m pip install scikit-bloom

And you can import the components via:

from skbloom import BloomVectorizer, BloomishVectorizer

In fairness, while this trick is interesting ... you might be fine just using the HashingVectorizer that just comes with sklearn.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit-bloom-0.1.1.tar.gz (3.2 kB view hashes)

Uploaded Source

Built Distribution

scikit_bloom-0.1.1-py2.py3-none-any.whl (3.3 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page