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This project contains the SDK used for Oracle Cloud Infrastructure Generative Ai
/**
* Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved.
* This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
*/
package com.oracle.bmc.generativeai.model;
/**
* Details about fine-tuning a custom model.
* Note: Objects should always be created or deserialized using the {@link Builder}. This model
* distinguishes fields that are {@code null} because they are unset from fields that are explicitly
* set to {@code null}. This is done in the setter methods of the {@link Builder}, which maintain a
* set of all explicitly set fields called {@link Builder#__explicitlySet__}. The {@link
* #hashCode()} and {@link #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 {@code null} from unset {@code
* null}).
*/
@jakarta.annotation.Generated(value = "OracleSDKGenerator", comments = "API Version: 20231130")
@com.fasterxml.jackson.databind.annotation.JsonDeserialize(builder = FineTuneDetails.Builder.class)
@com.fasterxml.jackson.annotation.JsonFilter(
com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel.EXPLICITLY_SET_FILTER_NAME)
public final class FineTuneDetails
extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel {
@Deprecated
@java.beans.ConstructorProperties({"trainingDataset", "dedicatedAiClusterId", "trainingConfig"})
public FineTuneDetails(
Dataset trainingDataset, String dedicatedAiClusterId, TrainingConfig trainingConfig) {
super();
this.trainingDataset = trainingDataset;
this.dedicatedAiClusterId = dedicatedAiClusterId;
this.trainingConfig = trainingConfig;
}
@com.fasterxml.jackson.databind.annotation.JsonPOJOBuilder(withPrefix = "")
public static class Builder {
@com.fasterxml.jackson.annotation.JsonProperty("trainingDataset")
private Dataset trainingDataset;
public Builder trainingDataset(Dataset trainingDataset) {
this.trainingDataset = trainingDataset;
this.__explicitlySet__.add("trainingDataset");
return this;
}
/** The OCID of the dedicated AI cluster this fine-tuning runs on. */
@com.fasterxml.jackson.annotation.JsonProperty("dedicatedAiClusterId")
private String dedicatedAiClusterId;
/**
* The OCID of the dedicated AI cluster this fine-tuning runs on.
*
* @param dedicatedAiClusterId the value to set
* @return this builder
*/
public Builder dedicatedAiClusterId(String dedicatedAiClusterId) {
this.dedicatedAiClusterId = dedicatedAiClusterId;
this.__explicitlySet__.add("dedicatedAiClusterId");
return this;
}
@com.fasterxml.jackson.annotation.JsonProperty("trainingConfig")
private TrainingConfig trainingConfig;
public Builder trainingConfig(TrainingConfig trainingConfig) {
this.trainingConfig = trainingConfig;
this.__explicitlySet__.add("trainingConfig");
return this;
}
@com.fasterxml.jackson.annotation.JsonIgnore
private final java.util.Set __explicitlySet__ = new java.util.HashSet();
public FineTuneDetails build() {
FineTuneDetails model =
new FineTuneDetails(
this.trainingDataset, this.dedicatedAiClusterId, this.trainingConfig);
for (String explicitlySetProperty : this.__explicitlySet__) {
model.markPropertyAsExplicitlySet(explicitlySetProperty);
}
return model;
}
@com.fasterxml.jackson.annotation.JsonIgnore
public Builder copy(FineTuneDetails model) {
if (model.wasPropertyExplicitlySet("trainingDataset")) {
this.trainingDataset(model.getTrainingDataset());
}
if (model.wasPropertyExplicitlySet("dedicatedAiClusterId")) {
this.dedicatedAiClusterId(model.getDedicatedAiClusterId());
}
if (model.wasPropertyExplicitlySet("trainingConfig")) {
this.trainingConfig(model.getTrainingConfig());
}
return this;
}
}
/** Create a new builder. */
public static Builder builder() {
return new Builder();
}
public Builder toBuilder() {
return new Builder().copy(this);
}
@com.fasterxml.jackson.annotation.JsonProperty("trainingDataset")
private final Dataset trainingDataset;
public Dataset getTrainingDataset() {
return trainingDataset;
}
/** The OCID of the dedicated AI cluster this fine-tuning runs on. */
@com.fasterxml.jackson.annotation.JsonProperty("dedicatedAiClusterId")
private final String dedicatedAiClusterId;
/**
* The OCID of the dedicated AI cluster this fine-tuning runs on.
*
* @return the value
*/
public String getDedicatedAiClusterId() {
return dedicatedAiClusterId;
}
@com.fasterxml.jackson.annotation.JsonProperty("trainingConfig")
private final TrainingConfig trainingConfig;
public TrainingConfig getTrainingConfig() {
return trainingConfig;
}
@Override
public String toString() {
return this.toString(true);
}
/**
* Return a string representation of the object.
*
* @param includeByteArrayContents true to include the full contents of byte arrays
* @return string representation
*/
public String toString(boolean includeByteArrayContents) {
java.lang.StringBuilder sb = new java.lang.StringBuilder();
sb.append("FineTuneDetails(");
sb.append("super=").append(super.toString());
sb.append("trainingDataset=").append(String.valueOf(this.trainingDataset));
sb.append(", dedicatedAiClusterId=").append(String.valueOf(this.dedicatedAiClusterId));
sb.append(", trainingConfig=").append(String.valueOf(this.trainingConfig));
sb.append(")");
return sb.toString();
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (!(o instanceof FineTuneDetails)) {
return false;
}
FineTuneDetails other = (FineTuneDetails) o;
return java.util.Objects.equals(this.trainingDataset, other.trainingDataset)
&& java.util.Objects.equals(this.dedicatedAiClusterId, other.dedicatedAiClusterId)
&& java.util.Objects.equals(this.trainingConfig, other.trainingConfig)
&& super.equals(other);
}
@Override
public int hashCode() {
final int PRIME = 59;
int result = 1;
result =
(result * PRIME)
+ (this.trainingDataset == null ? 43 : this.trainingDataset.hashCode());
result =
(result * PRIME)
+ (this.dedicatedAiClusterId == null
? 43
: this.dedicatedAiClusterId.hashCode());
result =
(result * PRIME)
+ (this.trainingConfig == null ? 43 : this.trainingConfig.hashCode());
result = (result * PRIME) + super.hashCode();
return result;
}
}
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