Tensorflow wrapper for classification
Project description
Tensorflow wrapper for classification
Requirements
Python +3.x
Installation
pip install deepvecNotes
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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