com.oracle.bmc.aianomalydetection.model

Class ModelTrainingDetails

java.lang.Object

com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

com.oracle.bmc.aianomalydetection.model.ModelTrainingDetails

@Generated(value="OracleSDKGenerator",
           comments="API Version: 20210101")
public final class ModelTrainingDetails
extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

Specifies the details of the MSET model during the create call.
Note: Objects should always be created or deserialized using the ModelTrainingDetails.Builder. This model distinguishes fields that are null because they are unset from fields that are explicitly set to null. This is done in the setter methods of the ModelTrainingDetails.Builder, which maintain a set of all explicitly set fields called ModelTrainingDetails.Builder.__explicitlySet__. The hashCode() and equals(Object) methods are implemented to take the explicitly set fields into account. The constructor, on the other hand, does not take the explicitly set fields into account (since the constructor cannot distinguish explicit null from unset null).

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ModelTrainingDetails.AlgorithmHint User can choose specific algorithm for training.
static class	ModelTrainingDetails.Builder

Field Summary

Fields inherited from class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

EXPLICITLY_SET_FILTER_NAME, EXPLICITLY_SET_PROPERTY_NAME

Constructor Summary

Constructors

Constructor and Description
ModelTrainingDetails(ModelTrainingDetails.AlgorithmHint algorithmHint, Float targetFap, Float trainingFraction, Integer windowSize, List<String> dataAssetIds) Deprecated.

Method Summary

Modifier and Type	Method and Description
static ModelTrainingDetails.Builder	builder() Create a new builder.
boolean	equals(Object o)
ModelTrainingDetails.AlgorithmHint	getAlgorithmHint() User can choose specific algorithm for training.
List<String>	getDataAssetIds() The list of OCIDs of the data assets to train the model.
Float	getTargetFap() A target model accuracy metric user provides as their requirement
Float	getTrainingFraction() Fraction of total data that is used for training the model.
Integer	getWindowSize() This value would determine the window size of the training algorithm.
int	hashCode()
ModelTrainingDetails.Builder	toBuilder()
String	toString()
String	toString(boolean includeByteArrayContents) Return a string representation of the object.

Methods inherited from class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

markPropertyAsExplicitlySet, wasPropertyExplicitlySet

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ModelTrainingDetails

@Deprecated
 @ConstructorProperties(value={"algorithmHint","targetFap","trainingFraction","windowSize","dataAssetIds"})
public ModelTrainingDetails(ModelTrainingDetails.AlgorithmHint algorithmHint,
                                                                                                                                                    Float targetFap,
                                                                                                                                                    Float trainingFraction,
                                                                                                                                                    Integer windowSize,
                                                                                                                                                    List<String> dataAssetIds)

Deprecated.

Method Detail

builder

public static ModelTrainingDetails.Builder builder()

Create a new builder.

toBuilder

public ModelTrainingDetails.Builder toBuilder()

getAlgorithmHint

public ModelTrainingDetails.AlgorithmHint getAlgorithmHint()

User can choose specific algorithm for training.

Returns:

the value

getTargetFap

public Float getTargetFap()

A target model accuracy metric user provides as their requirement

Returns:

the value

getTrainingFraction

public Float getTrainingFraction()

Fraction of total data that is used for training the model. The remaining is used for validation of the model.

Returns:

the value

getWindowSize

public Integer getWindowSize()

This value would determine the window size of the training algorithm.

Returns:

the value

getDataAssetIds

public List<String> getDataAssetIds()

The list of OCIDs of the data assets to train the model. The dataAssets have to be in the same project where the ai model would reside.

Returns:

the value

toString

public String toString()

Overrides:

toString in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

toString

public String toString(boolean includeByteArrayContents)

Return a string representation of the object.

Parameters:

includeByteArrayContents - true to include the full contents of byte arrays

Returns:

string representation

equals

public boolean equals(Object o)

Overrides:

equals in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

hashCode

public int hashCode()

Overrides:

hashCode in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel