ccp.docs/source/methods_ccp/Gate Cloud Covid19 Vaccine ...

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{
"title": "Gate Cloud Covid19 Vaccine Text Categoriser",
"description": "A machine learning classifier trained to categorise text about COVID-19 vaccines into 6 categories - Liberty or Freedom; Development, Provision and Access; Safety, Efficacy and Necessity; Politics and Economics; Conspiracy; Morality, Religiosity and Ethics. The service returns the top two categories for each input text - for full details see https://cloud.gate.ac.uk/shopfront/displayItem/covid19-vaccine",
"version": "1.0.0",
"jobControlOptions": "async-execute",
"metadata": [
{
"title": "Marco Lettere",
"role": "author",
"href": "https://accounts.d4science.org/auth/admin/realms/d4science/users/09138708-9a19-4724-93d1-8c721d591da2"
},
{
"role": "category",
"title": "Text_Classification"
}
],
"inputs": {
"ccpimage": {
"id": "ccpimage",
"title": "Runtime",
"description": "The image of the runtime to use for method execution. This depends on the infrastructure specific protocol for interacting with registries.",
"minOccurs": 1,
"maxOccurs": 1,
"schema": {
"type": "string",
"format": "url",
"contentMediaType": "text/plain",
"default": "hub.dev.d4science.org/ccp-runtimes/gatecloud-base:latest",
"readOnly": true
}
},
"inputFile": {
"id": "inputFile",
"title": "inputFile",
"description": "Input CSV file()",
"minOccurs": 1,
"maxOccurs": 1,
"schema": {
"type": "string",
"format": "remotefile",
"default": "",
"contentMediaType": "text/csv"
}
},
"columnSeparator": {
"id": "columnSeparator",
"title": "columnSeparator",
"description": "Separator between columns - comma for a normal CSV file but tab is also supported()",
"minOccurs": 1,
"maxOccurs": 1,
"schema": {
"type": "string",
"enum": [
"comma",
"tab"
],
"default": "comma"
}
},
"hasHeaders": {
"id": "hasHeaders",
"title": "hasHeaders",
"description": "Does the CSV have a header row?()",
"minOccurs": 1,
"maxOccurs": 1,
"schema": {
"type": "string",
"format": "boolean",
"default": "false"
}
},
"textColumn": {
"id": "textColumn",
"title": "textColumn",
"description": "Column name (if hasHeaders) or index (1-based) that contains the text to process()",
"minOccurs": 1,
"maxOccurs": 1,
"schema": {
"type": "string",
"format": "none",
"default": "1"
}
},
"copyColumns": {
"id": "copyColumns",
"title": "copyColumns",
"description": "Comma-separated list of column names (if hasHeaders is true) or indexes (1-based) that should be copied from the input to output, for example a column representing the document identifier. 0 means do not copy any columns to the output.()",
"minOccurs": 1,
"maxOccurs": 1,
"schema": {
"type": "string",
"format": "none",
"default": "0"
}
}
},
"outputs": {
"result": {
"id": "result",
"title": "result",
"description": "Result CSV file",
"minOccurs": 1,
"maxOccurs": 1,
"metadata": [
{
"title": "result.csv",
"role": "file",
"href": "/ccp_data/output/result.csv"
}
],
"schema": {
"type": "string",
"contentEncoding": "binary",
"contentMediaType": "text/csv"
}
}
},
"additionalParameters": {
"parameters": [
{
"name": "deploy-script",
"value": [
"./download.sh {{inputFile}}"
]
},
{
"name": "execute-script",
"value": [
"python build/covid19-vaccine/standard_service.py /ccp_data/inputFile.csv {{columnSeparator}} {{hasHeaders}} '{{textColumn}}' '{{copyColumns}}'",
"cp -f result.csv /ccp_data/"
]
},
{
"name": "undeploy-script",
"value": []
}
]
},
"links": [
{
"rel": "compatibleWith",
"title": "D4Science development Infrastructure",
"href": "infrastructures/d4science-dev-swarm"
},
{
"rel": "compatibleWith",
"title": "D4Science production Infrastructure",
"href": "infrastructures/d4science-prod-swarm"
}
],
"keywords": [
"gatecloud"
],
"id": "8826b5e6-2151-4b6b-993e-9b88f2a29925"
}