MetaDialog | shot natural language processing : Text Classification | Natural Language Processing library

by AtmaHou Python Version: Current License: Apache-2.0

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

kandi X-RAY | MetaDialog Summary

MetaDialog is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Tensorflow, Bert, Neural Network, Transformer applications. MetaDialog has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Platform for few-shot natural language processing: Text Classification, Sequene Labeling.

Support

Quality

Security

License

Reuse

Support

MetaDialog has a low active ecosystem.

It has 207 star(s) with 28 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 12 have been closed. On average issues are closed in 1 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MetaDialog is current.

Quality

MetaDialog has 0 bugs and 0 code smells.

Security

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

MetaDialog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MetaDialog is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

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

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

Top functions reviewed by kandi - BETA

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

Performs the forward computation
Removes the value from the tensor
Make a context embedding
Check if a transition between two entities
Return a list of allowed transitions
Load embedding layer
Train the model
Make a check point
Returns a sampler instance
Forward computation
Removes zero from the tensor
Dump data to a directory
Prepare optimizer
Generate data from raw data
Load data from DSTC4 tour
Forward the given examples
Compute the similarity between examples
Forward computation
Compute the joint likelihood
Make preprocessor for preprocessor
Split eval_set with labels
Summarize generated data
Check if options are valid
Get training data and feature
Split eval_set with label
Loads ATIS data from file
Compute the model similarity
Summarize generator data

Get all kandi verified functions for this library.

MetaDialog Key Features

No Key Features are available at this moment for MetaDialog.

MetaDialog Examples and Code Snippets

No Code Snippets are available at this moment for MetaDialog.

Community Discussions

Trending Discussions on MetaDialog

pytest-qt testing dialog box

QUESTION

pytest-qt testing dialog box

Asked 2018-Jul-23 at 22:32

Im trying to build a dialog box and write a test case for it.

Here is my dialog box code -

...

ANSWER

Answered 2018-Jul-23 at 22:27

exec_() calls to make the QDialog visible, you should not call it:

Source https://stackoverflow.com/questions/51487893

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

Vulnerabilities

No vulnerabilities reported

Install MetaDialog

You can download it from GitHub.
You can use MetaDialog 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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