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  /*
   * Copyright 2010-2015 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.machinelearning.model;
 
 
Container for the parameters to the UpdateMLModel operation.

Updates the MLModelName and the ScoreThreshold of an MLModel .

You can use the GetMLModel operation to view the contents of the updated data element.

 
 public class UpdateMLModelRequest extends AmazonWebServiceRequest implements SerializableCloneable {

    
The ID assigned to the MLModel during creation.

Constraints:
Length: 1 - 64
Pattern: [a-zA-Z0-9_.-]+

 
     private String mLModelId;

    
A user-supplied name or description of the MLModel.

Constraints:
Length: 0 - 1024
Pattern: .*\S.*|^$

 
     private String mLModelName;

    
The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

 
     private Float scoreThreshold;

    
The ID assigned to the MLModel during creation.

Constraints:
Length: 1 - 64
Pattern: [a-zA-Z0-9_.-]+

Returns:
The ID assigned to the MLModel during creation.
 
     public String getMLModelId() {
         return ;
     }
    
    
The ID assigned to the MLModel during creation.

Constraints:
Length: 1 - 64
Pattern: [a-zA-Z0-9_.-]+

Parameters:
mLModelId The ID assigned to the MLModel during creation.
 
     public void setMLModelId(String mLModelId) {
         this. = mLModelId;
     }
    
    
The ID assigned to the MLModel during creation.

Returns a reference to this object so that method calls can be chained together.

Constraints:
Length: 1 - 64
Pattern: [a-zA-Z0-9_.-]+

Parameters:
mLModelId The ID assigned to the MLModel during creation.
Returns:
A reference to this updated object so that method calls can be chained together.
    public UpdateMLModelRequest withMLModelId(String mLModelId) {
        this. = mLModelId;
        return this;
    }

    
A user-supplied name or description of the MLModel.

Constraints:
Length: 0 - 1024
Pattern: .*\S.*|^$

Returns:
A user-supplied name or description of the MLModel.
    public String getMLModelName() {
        return ;
    }
    
    
A user-supplied name or description of the MLModel.

Constraints:
Length: 0 - 1024
Pattern: .*\S.*|^$

Parameters:
mLModelName A user-supplied name or description of the MLModel.
    public void setMLModelName(String mLModelName) {
        this. = mLModelName;
    }
    
    
A user-supplied name or description of the MLModel.

Returns a reference to this object so that method calls can be chained together.

Constraints:
Length: 0 - 1024
Pattern: .*\S.*|^$

Parameters:
mLModelName A user-supplied name or description of the MLModel.
Returns:
A reference to this updated object so that method calls can be chained together.
    public UpdateMLModelRequest withMLModelName(String mLModelName) {
        this. = mLModelName;
        return this;
    }

    
The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

Returns:
The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

    public Float getScoreThreshold() {
        return ;
    }
    
    
The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

Parameters:
scoreThreshold The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

    public void setScoreThreshold(Float scoreThreshold) {
        this. = scoreThreshold;
    }
    
    
The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

Returns a reference to this object so that method calls can be chained together.

Parameters:
scoreThreshold The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

Returns:
A reference to this updated object so that method calls can be chained together.
    public UpdateMLModelRequest withScoreThreshold(Float scoreThreshold) {
        this. = scoreThreshold;
        return this;
    }

    
Returns a string representation of this object; useful for testing and debugging.

Returns:
A string representation of this object.
See also:
java.lang.Object.toString()
    @Override
    public String toString() {
        StringBuilder sb = new StringBuilder();
        sb.append("{");
        if (getMLModelId() != nullsb.append("MLModelId: " + getMLModelId() + ",");
        if (getMLModelName() != nullsb.append("MLModelName: " + getMLModelName() + ",");
        if (getScoreThreshold() != nullsb.append("ScoreThreshold: " + getScoreThreshold() );
        sb.append("}");
        return sb.toString();
    }
    
    @Override
    public int hashCode() {
        final int prime = 31;
        int hashCode = 1;
        
        hashCode = prime * hashCode + ((getMLModelId() == null) ? 0 : getMLModelId().hashCode()); 
        hashCode = prime * hashCode + ((getMLModelName() == null) ? 0 : getMLModelName().hashCode()); 
        hashCode = prime * hashCode + ((getScoreThreshold() == null) ? 0 : getScoreThreshold().hashCode()); 
        return hashCode;
    }
    
    @Override
    public boolean equals(Object obj) {
        if (this == objreturn true;
        if (obj == nullreturn false;
        if (obj instanceof UpdateMLModelRequest == falsereturn false;
        UpdateMLModelRequest other = (UpdateMLModelRequest)obj;
        
        if (other.getMLModelId() == null ^ this.getMLModelId() == nullreturn false;
        if (other.getMLModelId() != null && other.getMLModelId().equals(this.getMLModelId()) == falsereturn false
        if (other.getMLModelName() == null ^ this.getMLModelName() == nullreturn false;
        if (other.getMLModelName() != null && other.getMLModelName().equals(this.getMLModelName()) == falsereturn false
        if (other.getScoreThreshold() == null ^ this.getScoreThreshold() == nullreturn false;
        if (other.getScoreThreshold() != null && other.getScoreThreshold().equals(this.getScoreThreshold()) == falsereturn false
        return true;
    }
    
    @Override
    public UpdateMLModelRequest clone() {
        
            return (UpdateMLModelRequestsuper.clone();
    }
}
    
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