GLKS | GLKS proposed in Thinking Globally | Frontend Framework library

by PengjieRen Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | GLKS Summary

GLKS is a Python library typically used in User Interface, Frontend Framework, React applications. GLKS has no bugs, it has no vulnerabilities and it has low support. However GLKS build file is not available. You can download it from GitHub.

This is the implementation of GLKS proposed in "Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation".

Support

Quality

Security

License

Reuse

Support

GLKS has a low active ecosystem.

It has 9 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GLKS is current.

Quality

GLKS has 0 bugs and 0 code smells.

Security

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

GLKS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

GLKS does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

GLKS releases are not available. You will need to build from source code and install.

GLKS has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Sample from data
Create a new tensor
Compute the ROUGE - recall score
Get n - grams from text
Get n - grams from sentences
Calculate RCSL summary level
Calculates the union of the given sentences
Reconvert lcs
Calculate p_lcs
Tensorboard test
Compute ROUGE - N - recall score
Evaluate the model
Evaluate the ROUGE
Remove duplicates from sents
Compute the intersection between two boxes
Finds the intersection between two boxes
Forward computation
Compute the BLEU
Performs Moses multi - bleu
Calculate bleu score
Calculate the maximum BLEU score for a prediction
Perform a forward computation
Create a beam
Return a sequence of nodes
Compute the best match
Compute the score for a query
Generate a word from the data

Get all kandi verified functions for this library.

GLKS Key Features

No Key Features are available at this moment for GLKS.

GLKS Examples and Code Snippets

No Code Snippets are available at this moment for GLKS.

Community Discussions

Trending Discussions on GLKS

grid item overflowing outside of the grid

QUESTION

grid item overflowing outside of the grid

Asked 2020-May-18 at 16:32

I have a css grid where the last row element overflows out of the grid instead of the grid expanding to accommodate that element. I want it to not overflow like it does in the website I've linked below

https://egorchern.github.io/My_WebDev_Portfolio/Projects.html

...

ANSWER

Answered 2020-May-18 at 16:08

You defined your grid-row using percentage and the total is 100%. Adding gap to this will make you have an overflow for sure because you will have more than 100%

Use fr instead of %

Source https://stackoverflow.com/questions/61873841

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

Vulnerabilities

No vulnerabilities reported

Install GLKS

(1) Download the Holl-E dataset, make sure "holl\raw_data-20190221T150829Z-001\raw_data" contains the train, dev, test files. (2) Change the configurations ("input_file", "version", "output_file") in "Prepare_holl.py" to prepare different versions of datasets. (3) Download "glove.6B.300d" and put it in "holl/". (4) Create a vocabulary file based on the training set of different versions in the format: "token \t token_frequency".
(1) Download the Holl-E dataset, make sure "holl\raw_data-20190221T150829Z-001\raw_data" contains the train, dev, test files.
(2) Change the configurations ("input_file", "version", "output_file") in "Prepare_holl.py" to prepare different versions of datasets.
(3) Download "glove.6B.300d" and put it in "holl/"
(4) Create a vocabulary file based on the training set of different versions in the format: "token \t token_frequency".

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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