/* * 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; /** *
* A structure that contains runtime information about both current and completed hyperparameter tuning jobs. *
* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class HyperParameterTuningJobCompletionDetails implements Serializable, Cloneable, StructuredPojo { /** ** The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model * performance evaluated against an objective function. *
*/ private Integer numberOfTrainingJobsObjectiveNotImproving; /** ** The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement * over time based on criteria developed over a wide range of diverse benchmarking tests. *
*/ private java.util.Date convergenceDetectedTime; /** ** The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model * performance evaluated against an objective function. *
* * @param numberOfTrainingJobsObjectiveNotImproving * The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by * model performance evaluated against an objective function. */ public void setNumberOfTrainingJobsObjectiveNotImproving(Integer numberOfTrainingJobsObjectiveNotImproving) { this.numberOfTrainingJobsObjectiveNotImproving = numberOfTrainingJobsObjectiveNotImproving; } /** ** The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model * performance evaluated against an objective function. *
* * @return The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by * model performance evaluated against an objective function. */ public Integer getNumberOfTrainingJobsObjectiveNotImproving() { return this.numberOfTrainingJobsObjectiveNotImproving; } /** ** The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model * performance evaluated against an objective function. *
* * @param numberOfTrainingJobsObjectiveNotImproving * The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by * model performance evaluated against an objective function. * @return Returns a reference to this object so that method calls can be chained together. */ public HyperParameterTuningJobCompletionDetails withNumberOfTrainingJobsObjectiveNotImproving(Integer numberOfTrainingJobsObjectiveNotImproving) { setNumberOfTrainingJobsObjectiveNotImproving(numberOfTrainingJobsObjectiveNotImproving); return this; } /** ** The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement * over time based on criteria developed over a wide range of diverse benchmarking tests. *
* * @param convergenceDetectedTime * The time in timestamp format that AMT detected model convergence, as defined by a lack of significant * improvement over time based on criteria developed over a wide range of diverse benchmarking tests. */ public void setConvergenceDetectedTime(java.util.Date convergenceDetectedTime) { this.convergenceDetectedTime = convergenceDetectedTime; } /** ** The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement * over time based on criteria developed over a wide range of diverse benchmarking tests. *
* * @return The time in timestamp format that AMT detected model convergence, as defined by a lack of significant * improvement over time based on criteria developed over a wide range of diverse benchmarking tests. */ public java.util.Date getConvergenceDetectedTime() { return this.convergenceDetectedTime; } /** ** The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement * over time based on criteria developed over a wide range of diverse benchmarking tests. *
* * @param convergenceDetectedTime * The time in timestamp format that AMT detected model convergence, as defined by a lack of significant * improvement over time based on criteria developed over a wide range of diverse benchmarking tests. * @return Returns a reference to this object so that method calls can be chained together. */ public HyperParameterTuningJobCompletionDetails withConvergenceDetectedTime(java.util.Date convergenceDetectedTime) { setConvergenceDetectedTime(convergenceDetectedTime); 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 (getNumberOfTrainingJobsObjectiveNotImproving() != null) sb.append("NumberOfTrainingJobsObjectiveNotImproving: ").append(getNumberOfTrainingJobsObjectiveNotImproving()).append(","); if (getConvergenceDetectedTime() != null) sb.append("ConvergenceDetectedTime: ").append(getConvergenceDetectedTime()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof HyperParameterTuningJobCompletionDetails == false) return false; HyperParameterTuningJobCompletionDetails other = (HyperParameterTuningJobCompletionDetails) obj; if (other.getNumberOfTrainingJobsObjectiveNotImproving() == null ^ this.getNumberOfTrainingJobsObjectiveNotImproving() == null) return false; if (other.getNumberOfTrainingJobsObjectiveNotImproving() != null && other.getNumberOfTrainingJobsObjectiveNotImproving().equals(this.getNumberOfTrainingJobsObjectiveNotImproving()) == false) return false; if (other.getConvergenceDetectedTime() == null ^ this.getConvergenceDetectedTime() == null) return false; if (other.getConvergenceDetectedTime() != null && other.getConvergenceDetectedTime().equals(this.getConvergenceDetectedTime()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getNumberOfTrainingJobsObjectiveNotImproving() == null) ? 0 : getNumberOfTrainingJobsObjectiveNotImproving().hashCode()); hashCode = prime * hashCode + ((getConvergenceDetectedTime() == null) ? 0 : getConvergenceDetectedTime().hashCode()); return hashCode; } @Override public HyperParameterTuningJobCompletionDetails clone() { try { return (HyperParameterTuningJobCompletionDetails) 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.HyperParameterTuningJobCompletionDetailsMarshaller.getInstance().marshall(this, protocolMarshaller); } }