public class TrainingStatus
extends com.ibm.cloud.sdk.core.service.model.GenericModel
Modifier and Type | Field and Description |
---|---|
protected java.lang.Boolean |
available |
protected java.util.Date |
dataUpdated |
protected java.lang.Boolean |
minimumExamplesAdded |
protected java.lang.Boolean |
minimumQueriesAdded |
protected java.lang.Long |
notices |
protected java.lang.Boolean |
processing |
protected java.util.Date |
successfullyTrained |
protected java.lang.Boolean |
sufficientLabelDiversity |
protected java.lang.Long |
totalExamples |
Constructor and Description |
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TrainingStatus() |
Modifier and Type | Method and Description |
---|---|
java.util.Date |
getDataUpdated()
Gets the dataUpdated.
|
java.lang.Long |
getNotices()
Gets the notices.
|
java.util.Date |
getSuccessfullyTrained()
Gets the successfullyTrained.
|
java.lang.Long |
getTotalExamples()
Gets the totalExamples.
|
java.lang.Boolean |
isAvailable()
Gets the available.
|
java.lang.Boolean |
isMinimumExamplesAdded()
Gets the minimumExamplesAdded.
|
java.lang.Boolean |
isMinimumQueriesAdded()
Gets the minimumQueriesAdded.
|
java.lang.Boolean |
isProcessing()
Gets the processing.
|
java.lang.Boolean |
isSufficientLabelDiversity()
Gets the sufficientLabelDiversity.
|
@SerializedName(value="total_examples") protected java.lang.Long totalExamples
protected java.lang.Boolean available
protected java.lang.Boolean processing
@SerializedName(value="minimum_queries_added") protected java.lang.Boolean minimumQueriesAdded
@SerializedName(value="minimum_examples_added") protected java.lang.Boolean minimumExamplesAdded
@SerializedName(value="sufficient_label_diversity") protected java.lang.Boolean sufficientLabelDiversity
protected java.lang.Long notices
@SerializedName(value="successfully_trained") protected java.util.Date successfullyTrained
@SerializedName(value="data_updated") protected java.util.Date dataUpdated
public java.lang.Long getTotalExamples()
The total number of training examples uploaded to this collection.
public java.lang.Boolean isAvailable()
When `true`, the collection has been successfully trained.
public java.lang.Boolean isProcessing()
When `true`, the collection is currently processing training.
public java.lang.Boolean isMinimumQueriesAdded()
When `true`, the collection has a sufficent amount of queries added for training to occur.
public java.lang.Boolean isMinimumExamplesAdded()
When `true`, the collection has a sufficent amount of examples added for training to occur.
public java.lang.Boolean isSufficientLabelDiversity()
When `true`, the collection has a sufficent amount of diversity in labeled results for training to occur.
public java.lang.Long getNotices()
The number of notices associated with this data set.
public java.util.Date getSuccessfullyTrained()
The timestamp of when the collection was successfully trained.
public java.util.Date getDataUpdated()
The timestamp of when the data was uploaded.