Path: blob/master/cpd4.7/models/spark/product-line-prediction/meta/product-line-model-meta.json
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{1"name": "Product Line Prediction Model",2"project_id": "...",3"space_id": "...",4"description": "Classifies product line for person based on personal information.",5"type": "mllib_3.2",6"software_spec": {7"id": "5c1b0ca2-4977-5c2e-9439-ffd44ea8ffe9"8},9"pipeline": {10"id": "...",11"rev": "..."12},13"domain": "marketing",14"schemas": {15"input": [16{17"fields": [18{19"metadata": {},20"name": "GENDER",21"nullable": true,22"type": "string"23},24{25"metadata": {},26"name": "AGE",27"nullable": true,28"type": "integer"29},30{31"metadata": {},32"name": "MARITAL_STATUS",33"nullable": true,34"type": "string"35},36{37"metadata": {},38"name": "PROFESSION",39"nullable": true,40"type": "string"41},42{43"metadata": {44"modeling_role": "target"45},46"name": "PRODUCT_LINE",47"nullable": true,48"type": "string"49}50],51"id": "1",52"type": "struct"53}54],55"output": [56{57"id": "out_1",58"fields": [59{60"metadata": {},61"name": "GENDER",62"nullable": true,63"type": "string"64},65{66"metadata": {},67"name": "AGE",68"nullable": true,69"type": "integer"70},71{72"metadata": {},73"name": "MARITAL_STATUS",74"nullable": true,75"type": "string"76},77{78"metadata": {},79"name": "PROFESSION",80"nullable": true,81"type": "string"82},83{84"metadata": {85"modeling_role": "target"86},87"name": "PRODUCT_LINE",88"nullable": true,89"type": "string"90},91{92"name": "probability",93"type": "array"94},95{96"name": "prediction",97"type": "double"98},99{100"name": "predictedLabel",101"type": "string"102}103]104}105]106},107"label_column": "PRODUCT_LINE"108}109110111