Task | Some tasks for competition by gunjianpan | Application Framework library

by iofu728 Python Version: Current License: MIT

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

kandi X-RAY | Task Summary

Task is a Python library typically used in Server, Application Framework applications. Task has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Task build file is not available. You can download it from GitHub.

Some tasks for competition by gunjianpan.

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Quality

Security

License

Reuse

Support

Task has a low active ecosystem.

It has 3 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Task is current.

Quality

Task has no bugs reported.

Security

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

License

Task 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

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

Task has no build file. You will be need to create the build yourself to 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 Task and discovered the below as its top functions. This is intended to give you an instant insight into Task implemented functionality, and help decide if they suit your requirements.

Pos_word_opt_word
Returns a list of tag rule
Calculates the evaluation accuracy
Converts a wordlist into a tuple
Load data
Returns a list of words in the dictionary
Load a file from a file
Initialize NER
Perform posoptopt
Forward forward computation
Compute verbose attention
Evaluate the similarity function
Train a parser
Optimizes the model
Compute the evaluation of a wordnet
Calculates the loss and gradient of the loss function
Perform forward computation
Run the optimizer
Test for minibatch parsing
Compute segmentation
Train the Moudle model
Testring segmentation
Load and preprocess training data
Test word2vec
Calculate the sgdal gradient
Compute softmax loss and gradient
Load training data

Get all kandi verified functions for this library.

Task Key Features

No Key Features are available at this moment for Task.

Task Examples and Code Snippets

No Code Snippets are available at this moment for Task.

Community Discussions

Trending Discussions on Application Framework

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

QUESTION

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

Asked 2020-Mar-06 at 09:53

I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below

https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html

This is the sample config.xml file

...

ANSWER

Answered 2020-Mar-06 at 09:48

I figured out why we need this

required-api: param name="#target"

OPTIONAL(not compulsory)

It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.

Source https://stackoverflow.com/questions/60561230

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

Vulnerabilities

No vulnerabilities reported

Install Task

You can download it from GitHub.
You can use Task 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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