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.
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