@Generated(value="OracleSDKGenerator", comments="API Version: 20221001") public final class EntityMetrics extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
Entity level named entity recognition model metrics
Note: Objects should always be created or deserialized using the EntityMetrics.Builder
. This model
distinguishes fields that are null
because they are unset from fields that are explicitly
set to null
. This is done in the setter methods of the EntityMetrics.Builder
, which maintain a
set of all explicitly set fields called EntityMetrics.Builder.__explicitlySet__
. The hashCode()
and equals(Object)
methods are implemented to take the explicitly set
fields into account. The constructor, on the other hand, does not take the explicitly set fields
into account (since the constructor cannot distinguish explicit null
from unset null
).
Modifier and Type | Class and Description |
---|---|
static class |
EntityMetrics.Builder |
EXPLICITLY_SET_FILTER_NAME, EXPLICITLY_SET_PROPERTY_NAME
Constructor and Description |
---|
EntityMetrics(String label,
Float f1,
Float precision,
Float recall)
Deprecated.
|
Modifier and Type | Method and Description |
---|---|
static EntityMetrics.Builder |
builder()
Create a new builder.
|
boolean |
equals(Object o) |
Float |
getF1()
F1-score, is a measure of a model’s accuracy on a dataset
|
String |
getLabel()
Entity label
|
Float |
getPrecision()
Precision refers to the number of true positives divided by the total number of positive
predictions (i.e., the number of true positives plus the number of false positives)
|
Float |
getRecall()
Measures the model’s ability to predict actual positive classes.
|
int |
hashCode() |
EntityMetrics.Builder |
toBuilder() |
String |
toString() |
String |
toString(boolean includeByteArrayContents)
Return a string representation of the object.
|
markPropertyAsExplicitlySet, wasPropertyExplicitlySet
@Deprecated @ConstructorProperties(value={"label","f1","precision","recall"}) public EntityMetrics(String label, Float f1, Float precision, Float recall)
public static EntityMetrics.Builder builder()
Create a new builder.
public EntityMetrics.Builder toBuilder()
public String getLabel()
Entity label
public Float getF1()
F1-score, is a measure of a model’s accuracy on a dataset
public Float getPrecision()
Precision refers to the number of true positives divided by the total number of positive predictions (i.e., the number of true positives plus the number of false positives)
public Float getRecall()
Measures the model’s ability to predict actual positive classes. It is the ratio between the predicted true positives and what was actually tagged. The recall metric reveals how many of the predicted classes are correct.
public String toString()
toString
in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
public String toString(boolean includeByteArrayContents)
Return a string representation of the object.
includeByteArrayContents
- true to include the full contents of byte arrayspublic boolean equals(Object o)
equals
in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
public int hashCode()
hashCode
in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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