io.datahubproject.openapi.generated

Class TrainingData

java.lang.Object

io.datahubproject.openapi.generated.TrainingData

All Implemented Interfaces:

OneOfEnvelopedAspectValue, OneOfGenericAspectValue, OneOfMLModelSnapshotAspectsItems, OneOfVersionedAspectAspect

@Validated
 @Generated(value="io.swagger.codegen.v3.generators.java.SpringCodegen",
           date="2022-09-21T05:34:26.783Z[Etc/UTC]")
public class TrainingData
extends java.lang.Object
implements OneOfEnvelopedAspectValue, OneOfGenericAspectValue, OneOfMLModelSnapshotAspectsItems, OneOfVersionedAspectAspect

Ideally, the MLModel card would contain as much information about the training data as the evaluation data. However, there might be cases where it is not feasible to provide this level of detailed information about the training data. For example, the data may be proprietary, or require a non-disclosure agreement. In these cases, we advocate for basic details about the distributions over groups in the data, as well as any other details that could inform stakeholders on the kinds of biases the model may have encoded.

Constructor Summary

Constructors

Constructor and Description
TrainingData()

Method Summary

Modifier and Type	Method and Description
TrainingData	addTrainingDataItem(BaseData trainingDataItem)
boolean	equals(java.lang.Object o)
@NotNull java.lang.String	get__type() Name of this subclass in SimpleClassName format
@NotNull @Valid java.util.List<BaseData>	getTrainingData() Details on the dataset(s) used for training the MLModel
int	hashCode()
void	setTrainingData(java.util.List<BaseData> trainingData)
java.lang.String	toString()
TrainingData	trainingData(java.util.List<BaseData> trainingData)

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainingData

public TrainingData()

Method Detail

get__type

@NotNull
public @NotNull java.lang.String get__type()

Name of this subclass in SimpleClassName format

Returns:

__type

trainingData

public TrainingData trainingData(java.util.List<BaseData> trainingData)

addTrainingDataItem

public TrainingData addTrainingDataItem(BaseData trainingDataItem)

getTrainingData

@NotNull
 @Valid
public @NotNull @Valid java.util.List<BaseData> getTrainingData()

Details on the dataset(s) used for training the MLModel

Returns:

trainingData

setTrainingData

public void setTrainingData(java.util.List<BaseData> trainingData)

equals

public boolean equals(java.lang.Object o)

Overrides:

equals in class java.lang.Object

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object