com.amazonaws.services.sagemaker.model.MonitoringClusterConfig Maven / Gradle / Ivy
/*
* Copyright 2015-2020 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 AWS Key Management Service (AWS 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 AWS Key Management Service (AWS 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 AWS Key Management Service (AWS 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 AWS Key Management Service (AWS 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 AWS Key Management Service (AWS 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 AWS Key Management Service (AWS 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 AWS Key Management Service (AWS 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);
}
}