CIKM_AnalytiCup_2018

by williamSYSU Python Version: Current License: No License

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

kandi X-RAY | CIKM_AnalytiCup_2018 Summary

CIKM_AnalytiCup_2018 is a Python library. CIKM_AnalytiCup_2018 has no bugs, it has no vulnerabilities and it has low support. However CIKM_AnalytiCup_2018 build file is not available. You can download it from GitHub.

CIKM_AnalytiCup_2018

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Support

CIKM_AnalytiCup_2018 has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CIKM_AnalytiCup_2018 is current.

Quality

CIKM_AnalytiCup_2018 has no bugs reported.

Security

CIKM_AnalytiCup_2018 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CIKM_AnalytiCup_2018 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

CIKM_AnalytiCup_2018 releases are not available. You will need to build from source code and install.

CIKM_AnalytiCup_2018 has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed CIKM_AnalytiCup_2018 and discovered the below as its top functions. This is intended to give you an instant insight into CIKM_AnalytiCup_2018 implemented functionality, and help decide if they suit your requirements.

Forward pass through matrix_x
Calculates the similarity between two sentences
Calculate the final weight for a given pool index
Return the number of flattened features
Forward computation
Compute the linear similarity between two matrices
Generate spatial RNN
Compute softmax for each row
Get word embedding
Convert unicode to ASCII
Saves embedding to file
Normalize a string
Locate missing word in parameter vocabulary
Loads a vocabulary from a file
Load all the vocab
Load the final word embedding
Summarize vocabulary
Test for word embedding
This function is used for testing data
Save all embedding embedding
Creates embedding for missing digits
Run before training
Validate the model
Test the model
Start training
Load data pairs from file

Get all kandi verified functions for this library.

CIKM_AnalytiCup_2018 Key Features

No Key Features are available at this moment for CIKM_AnalytiCup_2018.

CIKM_AnalytiCup_2018 Examples and Code Snippets

No Code Snippets are available at this moment for CIKM_AnalytiCup_2018.

Community Discussions

No Community Discussions are available at this moment for CIKM_AnalytiCup_2018.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install CIKM_AnalytiCup_2018

You can download it from GitHub.
You can use CIKM_AnalytiCup_2018 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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