public static interface FindMatchesMetrics.Builder extends SdkPojo, CopyableBuilder<FindMatchesMetrics.Builder,FindMatchesMetrics>
| Modifier and Type | Method and Description |
|---|---|
FindMatchesMetrics.Builder |
areaUnderPRCurve(Double areaUnderPRCurve)
The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of the
transform, that is independent of the choice made for precision vs.
|
FindMatchesMetrics.Builder |
columnImportances(Collection<ColumnImportance> columnImportances)
A list of
ColumnImportance structures containing column importance metrics, sorted in order of
descending importance. |
FindMatchesMetrics.Builder |
columnImportances(ColumnImportance... columnImportances)
A list of
ColumnImportance structures containing column importance metrics, sorted in order of
descending importance. |
FindMatchesMetrics.Builder |
columnImportances(Consumer<ColumnImportance.Builder>... columnImportances)
A list of
ColumnImportance structures containing column importance metrics, sorted in order of
descending importance. |
FindMatchesMetrics.Builder |
confusionMatrix(ConfusionMatrix confusionMatrix)
The confusion matrix shows you what your transform is predicting accurately and what types of errors it is
making.
|
default FindMatchesMetrics.Builder |
confusionMatrix(Consumer<ConfusionMatrix.Builder> confusionMatrix)
The confusion matrix shows you what your transform is predicting accurately and what types of errors it is
making.
|
FindMatchesMetrics.Builder |
f1(Double f1)
The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best accuracy.
|
FindMatchesMetrics.Builder |
precision(Double precision)
The precision metric indicates when often your transform is correct when it predicts a match.
|
FindMatchesMetrics.Builder |
recall(Double recall)
The recall metric indicates that for an actual match, how often your transform predicts the match.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildFindMatchesMetrics.Builder areaUnderPRCurve(Double areaUnderPRCurve)
The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of the transform, that is independent of the choice made for precision vs. recall. Higher values indicate that you have a more attractive precision vs. recall tradeoff.
For more information, see Precision and recall in Wikipedia.
areaUnderPRCurve - The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of
the transform, that is independent of the choice made for precision vs. recall. Higher values indicate
that you have a more attractive precision vs. recall tradeoff.
For more information, see Precision and recall in Wikipedia.
FindMatchesMetrics.Builder precision(Double precision)
The precision metric indicates when often your transform is correct when it predicts a match. Specifically, it measures how well the transform finds true positives from the total true positives possible.
For more information, see Precision and recall in Wikipedia.
precision - The precision metric indicates when often your transform is correct when it predicts a match.
Specifically, it measures how well the transform finds true positives from the total true positives
possible.
For more information, see Precision and recall in Wikipedia.
FindMatchesMetrics.Builder recall(Double recall)
The recall metric indicates that for an actual match, how often your transform predicts the match. Specifically, it measures how well the transform finds true positives from the total records in the source data.
For more information, see Precision and recall in Wikipedia.
recall - The recall metric indicates that for an actual match, how often your transform predicts the match.
Specifically, it measures how well the transform finds true positives from the total records in the
source data.
For more information, see Precision and recall in Wikipedia.
FindMatchesMetrics.Builder f1(Double f1)
The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best accuracy.
For more information, see F1 score in Wikipedia.
f1 - The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best
accuracy.
For more information, see F1 score in Wikipedia.
FindMatchesMetrics.Builder confusionMatrix(ConfusionMatrix confusionMatrix)
The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.
For more information, see Confusion matrix in Wikipedia.
confusionMatrix - The confusion matrix shows you what your transform is predicting accurately and what types of errors
it is making.
For more information, see Confusion matrix in Wikipedia.
default FindMatchesMetrics.Builder confusionMatrix(Consumer<ConfusionMatrix.Builder> confusionMatrix)
The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.
For more information, see Confusion matrix in Wikipedia.
This is a convenience method that creates an instance of theConfusionMatrix.Builder avoiding the
need to create one manually via ConfusionMatrix.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to confusionMatrix(ConfusionMatrix).
confusionMatrix - a consumer that will call methods on ConfusionMatrix.BuilderconfusionMatrix(ConfusionMatrix)FindMatchesMetrics.Builder columnImportances(Collection<ColumnImportance> columnImportances)
A list of ColumnImportance structures containing column importance metrics, sorted in order of
descending importance.
columnImportances - A list of ColumnImportance structures containing column importance metrics, sorted in
order of descending importance.FindMatchesMetrics.Builder columnImportances(ColumnImportance... columnImportances)
A list of ColumnImportance structures containing column importance metrics, sorted in order of
descending importance.
columnImportances - A list of ColumnImportance structures containing column importance metrics, sorted in
order of descending importance.FindMatchesMetrics.Builder columnImportances(Consumer<ColumnImportance.Builder>... columnImportances)
A list of ColumnImportance structures containing column importance metrics, sorted in order of
descending importance.
ColumnImportance.Builder avoiding the need to create one
manually via ColumnImportance.builder().
When the Consumer completes,
SdkBuilder.build() is called immediately and
its result is passed to #columnImportances(List.
columnImportances - a consumer that will call methods on
ColumnImportance.Builder#columnImportances(java.util.Collection) Copyright © 2023. All rights reserved.