multi-label-classification-4-event-type | multi-label-classification-4-event-type

by percent4 Python Version: Current License: No License

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

kandi X-RAY | multi-label-classification-4-event-type Summary

multi-label-classification-4-event-type is a Python library. multi-label-classification-4-event-type has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

multi-label-classification-4-event-type

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Quality

Security

License

Reuse

Support

multi-label-classification-4-event-type has a low active ecosystem.

It has 95 star(s) with 47 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 0 have been closed. On average issues are closed in 153 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of multi-label-classification-4-event-type is current.

Quality

multi-label-classification-4-event-type has 0 bugs and 0 code smells.

Security

multi-label-classification-4-event-type has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

multi-label-classification-4-event-type code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

multi-label-classification-4-event-type 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

multi-label-classification-4-event-type 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.

multi-label-classification-4-event-type saves you 1487 person hours of effort in developing the same functionality from scratch.

It has 3316 lines of code, 171 functions and 17 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed multi-label-classification-4-event-type and discovered the below as its top functions. This is intended to give you an instant insight into multi-label-classification-4-event-type implemented functionality, and help decide if they suit your requirements.

Prelln_transformer model
Get the shape of a tensor
Assert that the tensor has the expected rank
Reshape a tensor from a matrix
Build a function for TPUEstimator
Get the assignment map from a checkpoint
Creates an optimizer
Apply gradients
Embed word embedding
Create training instances
Creates a attention mask from input tensors
Convert examples to features
Generate features from the queue
Evaluate a multi - classification test
Generate a sequence mask for seq2seq
Loads a vocabulary
Reads from a json file
Validates that the case matches the given checkpoint
A function that builds a tf input
Create a function that builds a model
Embedding postprocessor
Create MLM instances from a document
Optimize the graph
Writes examples to examples
Builds an input function
Tokenize text

Get all kandi verified functions for this library.

multi-label-classification-4-event-type Key Features

No Key Features are available at this moment for multi-label-classification-4-event-type.

multi-label-classification-4-event-type Examples and Code Snippets

No Code Snippets are available at this moment for multi-label-classification-4-event-type.

Community Discussions

No Community Discussions are available at this moment for multi-label-classification-4-event-type.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install multi-label-classification-4-event-type

You can download it from GitHub.
You can use multi-label-classification-4-event-type 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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