Sequence Vectorizer

Installation:

pip install SeqVectorizer

Usage of Regressor:

      from SeqVectorizer import Vectorizer
      vec = Vectorizer()
      x_train = vec.fit_transform(train_sentences)
      x_test = vec.transform(test_sentences)

      vec.get_features()
      #to get the vocabulary

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Metadata

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Release files for SeqVectorizer 0.5

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Built distribution (wheel)

Table of built distributions (wheels) for SeqVectorizer 0.5
File	Interpreter	ABI	Platform	Reset
SeqVectorizer-0.5-py3-none-any.whl 3.4 kB Nov 8, 2020	Python 3	none	any	Details

Release files / SeqVectorizer-0.5-py3-none-any.whl

Download URL	SeqVectorizer-0.5-py3-none-any.whl
Size	3.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f2b6aa4b9df7b63d655bc1d5f09cdcb0bf9b4cae009812a925c658002bd19827`
BLAKE2b-256 checksum How to use checksums	`27545c3d9c9c36bb53233a63715b9810206701fff68b4f052fa38ee79a8b8426`
Upload date	Nov 8, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.4.2 requests/2.21.0 setuptools/42.0.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.6.5`