com.ibm.watson.personality_insights.v3.model

Class Warning

java.lang.Object

com.ibm.cloud.sdk.core.service.model.GenericModel

com.ibm.watson.personality_insights.v3.model.Warning

All Implemented Interfaces:

com.ibm.cloud.sdk.core.service.model.ObjectModel

public class Warning
extends com.ibm.cloud.sdk.core.service.model.GenericModel

A warning message that is associated with the input content.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	Warning.WarningId The identifier of the warning message.

Field Summary

Fields

Modifier and Type	Field and Description
protected java.lang.String	message
protected java.lang.String	warningId

Constructor Summary

Constructors

Constructor and Description
Warning()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	getMessage() Gets the message.
java.lang.String	getWarningId() Gets the warningId.

Methods inherited from class com.ibm.cloud.sdk.core.service.model.GenericModel

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

warningId

@SerializedName(value="warning_id")
protected java.lang.String warningId

message

protected java.lang.String message

Constructor Detail

Warning

public Warning()

Method Detail

getWarningId

public java.lang.String getWarningId()

Gets the warningId.

The identifier of the warning message.

Returns:

the warningId

getMessage

public java.lang.String getMessage()

Gets the message.

The message associated with the `warning_id`: * `WORD_COUNT_MESSAGE`: "There were {number} words in the input. We need a minimum of 600, preferably 1,200 or more, to compute statistically significant estimates." * `JSON_AS_TEXT`: "Request input was processed as text/plain as indicated, however detected a JSON input. Did you mean application/json?" * `CONTENT_TRUNCATED`: "For maximum accuracy while also optimizing processing time, only the first 250KB of input text (excluding markup) was analyzed. Accuracy levels off at approximately 3,000 words so this did not affect the accuracy of the profile." * `PARTIAL_TEXT_USED`, "The text provided to compute the profile was trimmed for performance reasons. This action does not affect the accuracy of the output, as not all of the input text was required." Applies only when Arabic input text exceeds a threshold at which additional words do not contribute to the accuracy of the profile.

Returns:

the message