infor

Infor Artificial Intelligence Machine Learning Model API

Infor Artificial Intelligence Machine Learning Model

Quests

Get quest as JSON

Updates a training and production (if present) quest from the provided JSON object.

Update a quest

Delete a quest

Updates a production quest with the latest trained model from a training quest.

Update production quest model

Creates a new training quest (and production quest, if present in the JSON object) from a JSON object.

Create a new quest

Run a training quest

Run a production quest

Redeploy (update) a realtime production endpoint

Create (deploy) a realtime production endpoint from a quest

Returns a list of quests. Can be filtered and paginated.

List quests

Downloads custom training activity output (stored by custom algorithm in `/opt/ml/output/data`).

Download custom training activity output stored by custom algorithm

Get quest status

Returns status of a realtime production endpoint created from a quest.

Get endpoint status

Custom Algorithms

Get custom algorithm properties

Update custom algorithm

Delete custom algorithm

Create a new custom algorithm

Uploads hyperparameters definition CSV file.

Upload hyperparameters CSV definition

Deploy custom algorithm

Uploads ZIP archive containing custom algorithm code.
At least 2 files are needed:
* `train` - training script
* `predict.py` - prediction script

Upload custom algorithm code ZIP archive

Returns a list of Return the list of. Can be filtered and paginated.

List custom algorithms

Returns a list of quests, that use the custom algorithm.

Get usage in quests

Endpoints

Deactivate endpoint

Activate endpoint

Delete endpoint

Version Information

Get current Infor Artificial Intelligence version

Default

Ml Model V1

Infor API | Ml Model V1

Generated server url

questName

quest

productionQuest

Bad request

Unauthorized

Forbidden

Quest does not exist

Server error

Service unavailable

Quest updated

Quest deleted

Model successfully updated

Quest created successfully

Training quest scheduled for run

Conflict

Production quest scheduled for run

Redeployment scheduled successfully

Quest or endpoint does not exist

name

description

Deployment scheduled successfully

params

items

totalCount

trainingActivityName

trainingQuestStatus

productionQuestType

productionQuestStatus

endpointStatus

status

The quest or endpoint does not exist

Sections