Skip to main content

Tensorflow wrapper for classification

Project description

Tensorflow wrapper for classification

Requirements

  • Python +3.x

Installation

pip install deepvec

Notes

  • The library is for classification datasets (labeled).
  • The library accepts CSV of two columns, text (sentences) column and label column (numeric data only).
  • The library transforms text to vector, extracts features from vectors then classifies.

Usage

from deepvec.deep_vec import DeepVec

obj = DeepVec(path='/path/to/file.csv', feature='text_col', label='label_col')
data_frame = obj.prepare()
obj.proceed(data_frame)

Contributing

You are welcome.

License

The library is available as open source under the terms of the MIT License.

Project details


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
deepvec-0.2.tar.gz (2.3 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page