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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


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Files for deepvec, version 0.2
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