deepcut | A Thai word tokenization library using Deep Neural Network | Machine Learning library

by rkcosmos Python Version: 0.7.0.0 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | deepcut Summary

deepcut is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Neural Network applications. deepcut has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However deepcut has 2 bugs. You can install using 'pip install deepcut' or download it from GitHub, PyPI.

A Thai word tokenization library using Deep Neural Network.

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Quality

Security

License

Reuse

Support

deepcut has a low active ecosystem.

It has 336 star(s) with 90 fork(s). There are 31 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 41 have been closed. On average issues are closed in 157 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of deepcut is 0.7.0.0

Quality

deepcut has 2 bugs (0 blocker, 0 critical, 1 major, 1 minor) and 8 code smells.

Security

deepcut has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

deepcut code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

deepcut is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

deepcut releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

deepcut saves you 211 person hours of effort in developing the same functionality from scratch.

It has 518 lines of code, 20 functions and 12 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed deepcut and discovered the below as its top functions. This is intended to give you an instant insight into deepcut implemented functionality, and help decide if they suit your requirements.

Transform a list of documents
Tokenize text
Compute the document frequency
Performs a custom dictionary
Create a feature array from a string
Split text into tokens
Limits the features in the corpus
Transform tokens into n - grams
Train model
Prepare a dataframe for each article
Conv1D convolutional network
Create n - gram data
Get convolutional layer
Generate the best dataset
Create a dataframe from a list of words
Generate a list of words from a text file
Compute the F1 score for a given model
Load tokenizer
Fit the model using the transformer

Get all kandi verified functions for this library.

deepcut Key Features

No Key Features are available at this moment for deepcut.

deepcut Examples and Code Snippets

UnicodeDecodeError when tokenizing Thai language text in Python

Python

Lines of Code : 9

License : Strong Copyleft (CC BY-SA 4.0)

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import deepcut

thai = 'ตัดคำได้ดีมาก'
result = deepcut.tokenize(thai)

print([i for i in result])

['ตัด', 'คำ', 'ได้', 'ดี', 'มาก']

My package on PyPi cannot find relevant files

Python

Lines of Code : 9

License : Strong Copyleft (CC BY-SA 4.0)

Copy

# this will be the path that the file is stored in
# which for you should be /Users/my_username/anaconda/lib/python3.6/site-packages/deepcut/
path_to_module = os.path.dirname(__file__) 

# now just join it with the file in the weight folde

Community Discussions

Trending Discussions on deepcut

python cannot find method inside the same .py file

My package on PyPi cannot find relevant files

QUESTION

python cannot find method inside the same .py file

Asked 2018-Apr-03 at 20:10

Python cannot find method inside the same module

model.py

...

ANSWER

Answered 2018-Apr-03 at 20:10

I solved this by follow the answer of How to serialize a CountVectorizer with a custom tokenize function with joblib

Source https://stackoverflow.com/questions/49611608

QUESTION

My package on PyPi cannot find relevant files

Asked 2017-Jun-23 at 06:52

I'm trying to upload my first package on PyPi. Everything seems to be good except my function cannot access the relevant files within the package. Error is as follows.

...

ANSWER

Answered 2017-Jun-23 at 06:52

You can try using an absolute path instead.

Source https://stackoverflow.com/questions/44712885

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install deepcut

Install using pip for stable release (tensorflow version2.0),. For latest development release (recommended),. If you want to use tensorflow version 1.x and standalone keras, you will need.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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