API Documents///
- Create predictive scoring model
Retrieve list of predictive scoring models
Create predictive scoring model (legacy)
Retrieve predictive scoring model
Update predictive scoring model (legacy)
Delete predictive scoring model (legacy)
Retrieve predictive scoring model executions
Retrieve guessed rule
Retrieve column list
Retrieve column list of features
Retrieve histogram
Train predictive scoring model (legacy)
Retrieve predictive scoring rules
Retrieve predictive scording model by ID
Update predictive scoring model
Delete predictive scoring model
Run predictive scoring model
Retrieve executions of predictive scoring model
Retrieve features of predictive scoring model
Retrieve columns of predictive scoring model
Retrieve scores of predictive scoring model
Create predictive scoring...
Create a new predictive scoring model.
- https://api-cdp.treasuredata.comhttps://api-cdp.treasuredata.com/entities/predictive_segments
- https://api-cdp.treasuredata.co.jphttps://api-cdp.treasuredata.co.jp/entities/predictive_segments
- https://api-cdp.eu01.treasuredata.comhttps://api-cdp.eu01.treasuredata.com/entities/predictive_segments
- https://api-cdp.ap02.treasuredata.comhttps://api-cdp.ap02.treasuredata.com/entities/predictive_segments
- https://api-cdp.ap03.treasuredata.comhttps://api-cdp.ap03.treasuredata.com/entities/predictive_segments
- object
- object (2)
- object (3)
- object (4)
- object (5)
- object (6)
- object (7)
- object (8)
- object (9)
curl -i -X POST \
https://api-cdp.treasuredata.com/entities/predictive_segments \
-H 'Content-Type: application/vnd.treasuredata.v1+json' \
-d '{
"id": "string",
"type": "predictive-segment",
"attributes": {
"name": "string",
"description": "string",
"baseSegmentId": 0,
"segmentId": 0,
"scoredSegmentId": 0,
"gradeThresholds": [
75,
50,
25
],
"categoricalAsColumnNames": [
"string"
],
"categoricalArrayAsColumnNames": [
"string"
],
"quantitativeAsColumnNames": [
"string"
],
"preprocess": [
{
"column": "string",
"source": {
"column": "string",
"table": "string",
"functions": [
{
"function": "+",
"arg": 0
}
]
}
}
]
},
"relationships": {
"parentFolder": {
"data": {
"id": "string",
"type": "folder-segment"
}
}
}
}'Response
{ "data": { "audienceId": "string", "baseSegmentId": "string", "segmentId": "string", "scoredSegmentId": "string", "name": "string", "description": "string", "categoricalAsColumnNames": [ … ], "categoricalArrayAsColumnNames": [ … ], "quantitativeAsColumnNames": [ … ], "accuracy": 100, "areaUnderRocCurve": 1, "gradeThresholds": [ … ], "createdAt": "2019-08-24T14:15:22Z", "updatedAt": "2019-08-24T14:15:22Z", "modelUpdatedAt": "2019-08-24T14:15:22Z" }, "included": [ { … } ] }