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TolerantEarlyStoppingRule(Single) Constructor

  • Reference

Definition

Namespace:
Microsoft.ML.Trainers.FastTree
Assembly:
Microsoft.ML.FastTree.dll
Package:
Microsoft.ML.FastTree v3.0.1
Package:
Microsoft.ML.FastTree v1.0.0
Package:
Microsoft.ML.FastTree v1.1.0
Package:
Microsoft.ML.FastTree v1.2.0
Package:
Microsoft.ML.FastTree v1.3.1
Package:
Microsoft.ML.FastTree v1.4.0
Package:
Microsoft.ML.FastTree v1.5.5
Package:
Microsoft.ML.FastTree v1.6.0
Package:
Microsoft.ML.FastTree v1.7.0
Package:
Microsoft.ML.FastTree v2.0.0

Create a rule which may terminate the training process if validation score exceeds threshold compared with the best historical validation score.

public TolerantEarlyStoppingRule (float threshold = 0.01);
new Microsoft.ML.Trainers.FastTree.TolerantEarlyStoppingRule : single -> Microsoft.ML.Trainers.FastTree.TolerantEarlyStoppingRule
Public Sub New (Optional threshold As Single = 0.01)

Parameters

threshold
Single

The maximum difference allowed between the (current) validation score and its best historical value.

Applies to