MulticlassClassificationCatalog.Evaluate Method
Definition
Important
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Evaluates scored multiclass classification data.
public Microsoft.ML.Data.MulticlassClassificationMetrics Evaluate (Microsoft.ML.IDataView data, string labelColumnName = "Label", string scoreColumnName = "Score", string predictedLabelColumnName = "PredictedLabel", int topKPredictionCount = 0);
member this.Evaluate : Microsoft.ML.IDataView * string * string * string * int -> Microsoft.ML.Data.MulticlassClassificationMetrics
Public Function Evaluate (data As IDataView, Optional labelColumnName As String = "Label", Optional scoreColumnName As String = "Score", Optional predictedLabelColumnName As String = "PredictedLabel", Optional topKPredictionCount As Integer = 0) As MulticlassClassificationMetrics
Parameters
- data
- IDataView
The scored data.
- labelColumnName
- String
The name of the label column in data
.
- scoreColumnName
- String
The name of the score column in data
.
- predictedLabelColumnName
- String
The name of the predicted label column in data
.
- topKPredictionCount
- Int32
If given a positive value, the TopKAccuracy will be filled with the top-K accuracy, that is, the accuracy assuming we consider an example with the correct class within the top-K values as being stored "correctly."
Returns
The evaluation results for these calibrated outputs.
Applies to
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