MachineLearningSettings
Models trained from finished work.
enabledBooleanWhether system models are trained from finished work to predict durations and producibility; null uses the server default.
Hours between retraining runs (1–720); null uses the server default.
Finished operations needed before a first model is trained (at least 10); null uses the server default.
New finished operations needed before a model is retrained (at least 10); null uses the server default.
minR2FloatLowest R² a retrained regression model may have to be used (at most 1); null uses the server default.
maxRMSEFloatHighest RMSE a retrained regression model may have to be used (above 0); null uses the server default.
minAccuracyFloatLowest accuracy a retrained classification model may have to be used (0–1); null uses the server default.
Flag an operation phase for review when the predicted and calculated durations differ by more than this many seconds; null turns this criterion off. Every set criterion must be exceeded.
Flag an operation phase for review when the predicted and calculated durations differ by more than this percentage; null turns this criterion off. Every set criterion must be exceeded.
What each null field falls back to.
Last save of this section; null until someone saves it.
View exact SDL
"""Models trained from finished work."""
type MachineLearningSettings {
"""
Whether system models are trained from finished work to predict durations and producibility; null uses the server default.
"""
enabled: Boolean
"""Hours between retraining runs (1–720); null uses the server default."""
retrainIntervalHours: Int
"""
Finished operations needed before a first model is trained (at least 10); null uses the server default.
"""
minTrainingRows: Int
"""
New finished operations needed before a model is retrained (at least 10); null uses the server default.
"""
retrainThresholdRows: Int
"""
Lowest R² a retrained regression model may have to be used (at most 1); null uses the server default.
"""
minR2: Float
"""
Highest RMSE a retrained regression model may have to be used (above 0); null uses the server default.
"""
maxRMSE: Float
"""
Lowest accuracy a retrained classification model may have to be used (0–1); null uses the server default.
"""
minAccuracy: Float
"""
Flag an operation phase for review when the predicted and calculated durations differ by more than this many seconds; null turns this criterion off. Every set criterion must be exceeded.
"""
durationReviewMinSeconds: Float
"""
Flag an operation phase for review when the predicted and calculated durations differ by more than this percentage; null turns this criterion off. Every set criterion must be exceeded.
"""
durationReviewMinPercent: Float
"""What each null field falls back to."""
serverDefaults: MachineLearningServerDefaults!
"""Last save of this section; null until someone saves it."""
lastChange: SettingsChange
}One stable address across all schema views. Follow a field’s type to explore connections between domains.