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application will allow users to share and dereference ML models.

Project description

KBox

KBox python implementation

This package is created to distribute KBox as a python package.

  • View the library from here

  • Install using pip

pip install kbox

Use it in from your terminal

Once you install the kbox package, you can directly execute the commands from the terminal. You don't need to open up a python environment to use the kbox package.

Open a terminal and execute KBox commands in python with kbox package as below,

kbox -list
KBox KNS Resource table list
##############################
name,format,version
##############################
https://schema.org/,kibe,0
http://productcatalogue.org/products/eco/,kibe,0
http://productcatalogue.org/products/amazon/,kibe,0
http://company.org,kibe,0
http://github.org/aksw/NSpM/monument_300_2,kibe,0
http://github.org/aksw/NSpM/monument_300,NSPM/Model,0
http://purl.org/dc/dcmitype/,kibe,0
http://purl.org/dc/dc0/,kibe,0
...
...

Like the above command, you can use all other KBox commands with kbox python package. You can refer to the document here to get a good understanding of other KBox commands as well.

Use it in your python application.

execute(command)
Description: Execute the provided command in the KBox.jar
Args:
  command: 'string', KBox command which should be exectue in KBox.
Returns:
    Resutls of the provided kbox command as a string

If you want to use the kbox inside your python application, you can follow these instructions,

  1. Import the kbox package (from kbox import kbox).

  2. Execute any KBox command with execute() function as follows.

    kbox.execute('KBox_Command')
    

**Note: execute() method will return a string output which contains the result of the executed command.

Source URLs

  • Find the KBox source code here

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