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Data

This implementation of Machine Learning uses Python under-the-hood. Hence, its workflow units adopt the schema used by Python Units.

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{
    "allOf": [
        {
            "schemaId": "software-application", 
            "required": [
                "name"
            ], 
            "type": "object", 
            "properties": {
                "build": {
                    "type": "string", 
                    "description": "Application build. e.g. VTST"
                }, 
                "shortName": {
                    "type": "string", 
                    "description": "The short name of the application. e.g. qe"
                }, 
                "version": {
                    "type": "string", 
                    "description": "Application version. e.g. 5.3.5"
                }, 
                "name": {
                    "type": "string", 
                    "description": "The name of the application. e.g. espresso"
                }, 
                "summary": {
                    "type": "string", 
                    "description": "Application's short description."
                }
            }, 
            "title": "application schema (base)"
        }
    ], 
    "schemaId": "software-directory-scripting-python", 
    "title": "Python Programing Language Schema", 
    "$schema": "http://json-schema.org/draft-04/schema#", 
    "type": "object", 
    "properties": {
        "name": {
            "enum": [
                "python"
            ]
        }, 
        "exec": {
            "enum": [
                "python"
            ]
        }, 
        "summary": {
            "enum": [
                "Python Script"
            ]
        }, 
        "environment": {
            "type": "object", 
            "description": "Optional environment variables exported before running the Python script"
        }, 
        "version": {
            "enum": [
                "2.7.5", 
                "3.6.1"
            ]
        }, 
        "arguments": {
            "type": "string", 
            "description": "Optional arguments passed to the Python script"
        }, 
        "dependencies": {
            "type": "array", 
            "description": "Optional Python dependencies, e.g. amqp==1.4.6"
        }, 
        "flavor": {
            "enum": [
                "python2", 
                "python3"
            ]
        }
    }
}
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{
    "name": "python", 
    "exec": "python", 
    "summary": "Python Script", 
    "version": "2.7.5", 
    "shortName": "py", 
    "flavor": "python2"
}