Package io.datahubproject.openapi.generated

Class CaveatsAndRecommendations

java.lang.Object

io.datahubproject.openapi.generated.CaveatsAndRecommendations

All Implemented Interfaces:

OneOfEnvelopedAspectValue, OneOfGenericAspectValue, OneOfMLModelSnapshotAspectsItems, OneOfVersionedAspectAspect

@Validated
@Generated(value="io.swagger.codegen.v3.generators.java.SpringCodegen",
           date="2022-10-18T12:49:45.903581Z[Etc/UTC]")
public class CaveatsAndRecommendations
extends java.lang.Object
implements OneOfEnvelopedAspectValue, OneOfGenericAspectValue, OneOfMLModelSnapshotAspectsItems, OneOfVersionedAspectAspect

This section should list additional concerns that were not covered in the previous sections. For example, did the results suggest any further testing? Were there any relevant groups that were not represented in the evaluation dataset? Are there additional recommendations for model use?

Constructor Summary

Constructors

Constructor	Description
CaveatsAndRecommendations()

Method Summary

Modifier and Type	Method	Description
CaveatsAndRecommendations	addIdealDatasetCharacteristicsItem(java.lang.String idealDatasetCharacteristicsItem)
CaveatsAndRecommendations	caveats(CaveatDetails caveats)
boolean	equals(java.lang.Object o)
@NotNull java.lang.String	get__type()	Name of this subclass in SimpleClassName format
@Valid CaveatDetails	getCaveats()	Get caveats
java.util.List<java.lang.String>	getIdealDatasetCharacteristics()	Ideal characteristics of an evaluation dataset for this MLModel
java.lang.String	getRecommendations()	Recommendations on where this MLModel should be used.
int	hashCode()
CaveatsAndRecommendations	idealDatasetCharacteristics(java.util.List<java.lang.String> idealDatasetCharacteristics)
CaveatsAndRecommendations	recommendations(java.lang.String recommendations)
void	setCaveats(CaveatDetails caveats)
void	setIdealDatasetCharacteristics(java.util.List<java.lang.String> idealDatasetCharacteristics)
void	setRecommendations(java.lang.String recommendations)
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

CaveatsAndRecommendations

public CaveatsAndRecommendations()

Method Detail

get__type

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

Name of this subclass in SimpleClassName format

Returns:

__type

caveats

public CaveatsAndRecommendations caveats(CaveatDetails caveats)

getCaveats

@Valid
public @Valid CaveatDetails getCaveats()

Get caveats

Returns:

caveats

setCaveats

public void setCaveats(CaveatDetails caveats)

recommendations

public CaveatsAndRecommendations recommendations(java.lang.String recommendations)

getRecommendations

public java.lang.String getRecommendations()

Recommendations on where this MLModel should be used.

Returns:

recommendations

setRecommendations

public void setRecommendations(java.lang.String recommendations)

idealDatasetCharacteristics

public CaveatsAndRecommendations idealDatasetCharacteristics(java.util.List<java.lang.String> idealDatasetCharacteristics)

addIdealDatasetCharacteristicsItem

public CaveatsAndRecommendations addIdealDatasetCharacteristicsItem(java.lang.String idealDatasetCharacteristicsItem)

getIdealDatasetCharacteristics

public java.util.List<java.lang.String> getIdealDatasetCharacteristics()

Ideal characteristics of an evaluation dataset for this MLModel

Returns:

idealDatasetCharacteristics

setIdealDatasetCharacteristics

public void setIdealDatasetCharacteristics(java.util.List<java.lang.String> idealDatasetCharacteristics)

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