Uses of Class
com.oracle.bmc.aianomalydetection.model.ModelTrainingResults.Builder

Packages that use ModelTrainingResults.Builder

Package	Description
com.oracle.bmc.aianomalydetection.model

Uses of ModelTrainingResults.Builder in com.oracle.bmc.aianomalydetection.model

Methods in com.oracle.bmc.aianomalydetection.model that return ModelTrainingResults.Builder

Modifier and Type	Method and Description
ModelTrainingResults.Builder	ModelTrainingResults.Builder.algorithm(ModelTrainingResults.Algorithm algorithm) Actual algorithm used to train the model
static ModelTrainingResults.Builder	ModelTrainingResults.builder() Create a new builder.
ModelTrainingResults.Builder	ModelTrainingResults.Builder.copy(ModelTrainingResults model)
ModelTrainingResults.Builder	ModelTrainingResults.Builder.fap(Float fap) The final-achieved model accuracy metric on individual value level
ModelTrainingResults.Builder	ModelTrainingResults.Builder.isTrainingGoalAchieved(Boolean isTrainingGoalAchieved) A boolean value to indicate if train goal/targetFap is achieved for trained model
ModelTrainingResults.Builder	ModelTrainingResults.Builder.multivariateFap(Float multivariateFap) The model accuracy metric on timestamp level.
ModelTrainingResults.Builder	ModelTrainingResults.Builder.rowReductionDetails(RowReductionDetails rowReductionDetails)
ModelTrainingResults.Builder	ModelTrainingResults.Builder.signalDetails(List<PerSignalDetails> signalDetails) The list of signal details.
ModelTrainingResults.Builder	ModelTrainingResults.toBuilder()
ModelTrainingResults.Builder	ModelTrainingResults.Builder.warning(String warning) A warning message to explain the reason when targetFap cannot be achieved for trained model
ModelTrainingResults.Builder	ModelTrainingResults.Builder.windowSize(Integer windowSize) Window size defined during training or deduced by the algorithm.