All Downloads are FREE. Search and download functionalities are using the official Maven repository.

com.oracle.bmc.generativeai.model.FineTuneDetails Maven / Gradle / Ivy

The newest version!
/**
 * 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; } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy