public class EvaluationResult
extends java.lang.Object
implements java.io.Serializable
The evaluation results for the training of a model.
| Constructor and Description |
|---|
EvaluationResult() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(java.lang.Object obj) |
java.lang.Float |
getF1Score()
The F1 score for the evaluation of all labels.
|
Summary |
getSummary()
The S3 bucket that contains the training summary.
|
int |
hashCode() |
void |
setF1Score(java.lang.Float f1Score)
The F1 score for the evaluation of all labels.
|
void |
setSummary(Summary summary)
The S3 bucket that contains the training summary.
|
java.lang.String |
toString()
Returns a string representation of this object; useful for testing and
debugging.
|
EvaluationResult |
withF1Score(java.lang.Float f1Score)
The F1 score for the evaluation of all labels.
|
EvaluationResult |
withSummary(Summary summary)
The S3 bucket that contains the training summary.
|
public java.lang.Float getF1Score()
The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
public void setF1Score(java.lang.Float f1Score)
The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
f1Score - The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
public EvaluationResult withF1Score(java.lang.Float f1Score)
The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
Returns a reference to this object so that method calls can be chained together.
f1Score - The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
public Summary getSummary()
The S3 bucket that contains the training summary.
The S3 bucket that contains the training summary.
public void setSummary(Summary summary)
The S3 bucket that contains the training summary.
summary - The S3 bucket that contains the training summary.
public EvaluationResult withSummary(Summary summary)
The S3 bucket that contains the training summary.
Returns a reference to this object so that method calls can be chained together.
summary - The S3 bucket that contains the training summary.
public java.lang.String toString()
toString in class java.lang.ObjectObject.toString()public int hashCode()
hashCode in class java.lang.Objectpublic boolean equals(java.lang.Object obj)
equals in class java.lang.ObjectCopyright © 2018 Amazon Web Services, Inc. All Rights Reserved.