/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.sagemaker.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *
* Configuration for the cluster used to run model monitoring jobs. *
* * @see AWS * API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class MonitoringClusterConfig implements Serializable, Cloneable, StructuredPojo { /** ** The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a * value greater than 1. The default value is 1. *
*/ private Integer instanceCount; /** ** The ML compute instance type for the processing job. *
*/ private String instanceType; /** ** The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML * storage for your scenario. *
*/ private Integer volumeSizeInGB; /** ** The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job. *
*/ private String volumeKmsKeyId; /** ** The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a * value greater than 1. The default value is 1. *
* * @param instanceCount * The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, * specify a value greater than 1. The default value is 1. */ public void setInstanceCount(Integer instanceCount) { this.instanceCount = instanceCount; } /** ** The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a * value greater than 1. The default value is 1. *
* * @return The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, * specify a value greater than 1. The default value is 1. */ public Integer getInstanceCount() { return this.instanceCount; } /** ** The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a * value greater than 1. The default value is 1. *
* * @param instanceCount * The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, * specify a value greater than 1. The default value is 1. * @return Returns a reference to this object so that method calls can be chained together. */ public MonitoringClusterConfig withInstanceCount(Integer instanceCount) { setInstanceCount(instanceCount); return this; } /** ** The ML compute instance type for the processing job. *
* * @param instanceType * The ML compute instance type for the processing job. * @see ProcessingInstanceType */ public void setInstanceType(String instanceType) { this.instanceType = instanceType; } /** ** The ML compute instance type for the processing job. *
* * @return The ML compute instance type for the processing job. * @see ProcessingInstanceType */ public String getInstanceType() { return this.instanceType; } /** ** The ML compute instance type for the processing job. *
* * @param instanceType * The ML compute instance type for the processing job. * @return Returns a reference to this object so that method calls can be chained together. * @see ProcessingInstanceType */ public MonitoringClusterConfig withInstanceType(String instanceType) { setInstanceType(instanceType); return this; } /** ** The ML compute instance type for the processing job. *
* * @param instanceType * The ML compute instance type for the processing job. * @return Returns a reference to this object so that method calls can be chained together. * @see ProcessingInstanceType */ public MonitoringClusterConfig withInstanceType(ProcessingInstanceType instanceType) { this.instanceType = instanceType.toString(); return this; } /** ** The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML * storage for your scenario. *
* * @param volumeSizeInGB * The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient * ML storage for your scenario. */ public void setVolumeSizeInGB(Integer volumeSizeInGB) { this.volumeSizeInGB = volumeSizeInGB; } /** ** The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML * storage for your scenario. *
* * @return The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient * ML storage for your scenario. */ public Integer getVolumeSizeInGB() { return this.volumeSizeInGB; } /** ** The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML * storage for your scenario. *
* * @param volumeSizeInGB * The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient * ML storage for your scenario. * @return Returns a reference to this object so that method calls can be chained together. */ public MonitoringClusterConfig withVolumeSizeInGB(Integer volumeSizeInGB) { setVolumeSizeInGB(volumeSizeInGB); return this; } /** ** The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job. *
* * @param volumeKmsKeyId * The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring * job. */ public void setVolumeKmsKeyId(String volumeKmsKeyId) { this.volumeKmsKeyId = volumeKmsKeyId; } /** ** The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job. *
* * @return The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses * to encrypt data on the storage volume attached to the ML compute instance(s) that run the model * monitoring job. */ public String getVolumeKmsKeyId() { return this.volumeKmsKeyId; } /** ** The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job. *
* * @param volumeKmsKeyId * The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring * job. * @return Returns a reference to this object so that method calls can be chained together. */ public MonitoringClusterConfig withVolumeKmsKeyId(String volumeKmsKeyId) { setVolumeKmsKeyId(volumeKmsKeyId); return this; } /** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getInstanceCount() != null) sb.append("InstanceCount: ").append(getInstanceCount()).append(","); if (getInstanceType() != null) sb.append("InstanceType: ").append(getInstanceType()).append(","); if (getVolumeSizeInGB() != null) sb.append("VolumeSizeInGB: ").append(getVolumeSizeInGB()).append(","); if (getVolumeKmsKeyId() != null) sb.append("VolumeKmsKeyId: ").append(getVolumeKmsKeyId()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof MonitoringClusterConfig == false) return false; MonitoringClusterConfig other = (MonitoringClusterConfig) obj; if (other.getInstanceCount() == null ^ this.getInstanceCount() == null) return false; if (other.getInstanceCount() != null && other.getInstanceCount().equals(this.getInstanceCount()) == false) return false; if (other.getInstanceType() == null ^ this.getInstanceType() == null) return false; if (other.getInstanceType() != null && other.getInstanceType().equals(this.getInstanceType()) == false) return false; if (other.getVolumeSizeInGB() == null ^ this.getVolumeSizeInGB() == null) return false; if (other.getVolumeSizeInGB() != null && other.getVolumeSizeInGB().equals(this.getVolumeSizeInGB()) == false) return false; if (other.getVolumeKmsKeyId() == null ^ this.getVolumeKmsKeyId() == null) return false; if (other.getVolumeKmsKeyId() != null && other.getVolumeKmsKeyId().equals(this.getVolumeKmsKeyId()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getInstanceCount() == null) ? 0 : getInstanceCount().hashCode()); hashCode = prime * hashCode + ((getInstanceType() == null) ? 0 : getInstanceType().hashCode()); hashCode = prime * hashCode + ((getVolumeSizeInGB() == null) ? 0 : getVolumeSizeInGB().hashCode()); hashCode = prime * hashCode + ((getVolumeKmsKeyId() == null) ? 0 : getVolumeKmsKeyId().hashCode()); return hashCode; } @Override public MonitoringClusterConfig clone() { try { return (MonitoringClusterConfig) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } @com.amazonaws.annotation.SdkInternalApi @Override public void marshall(ProtocolMarshaller protocolMarshaller) { com.amazonaws.services.sagemaker.model.transform.MonitoringClusterConfigMarshaller.getInstance().marshall(this, protocolMarshaller); } }