com.datadog.api.client.v2.model

Class LLMObsCustomEvalConfigInferenceParams

java.lang.Object

com.datadog.api.client.v2.model.LLMObsCustomEvalConfigInferenceParams

@Generated(value="https://github.com/DataDog/datadog-api-client-java/blob/master/.generator")
public class LLMObsCustomEvalConfigInferenceParams
extends Object

LLM inference parameters for a custom evaluator.

Field Summary

Fields

Modifier and Type	Field and Description
static String	JSON_PROPERTY_FREQUENCY_PENALTY
static String	JSON_PROPERTY_MAX_TOKENS
static String	JSON_PROPERTY_PRESENCE_PENALTY
static String	JSON_PROPERTY_TEMPERATURE
static String	JSON_PROPERTY_TOP_K
static String	JSON_PROPERTY_TOP_P
boolean	unparsed

Constructor Summary

Constructors

Constructor and Description
LLMObsCustomEvalConfigInferenceParams()

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object o) Return true if this LLMObsCustomEvalConfigInferenceParams object is equal to o.
LLMObsCustomEvalConfigInferenceParams	frequencyPenalty(Double frequencyPenalty)
Map<String,Object>	getAdditionalProperties() Return the additional (undeclared) property.
Object	getAdditionalProperty(String key) Return the additional (undeclared) property with the specified name.
Double	getFrequencyPenalty() Frequency penalty to reduce repetition.
Long	getMaxTokens() Maximum number of tokens to generate.
Double	getPresencePenalty() Presence penalty to reduce repetition.
Double	getTemperature() Sampling temperature for the LLM.
Long	getTopK() Top-k sampling parameter.
Double	getTopP() Top-p (nucleus) sampling parameter.
int	hashCode()
LLMObsCustomEvalConfigInferenceParams	maxTokens(Long maxTokens)
LLMObsCustomEvalConfigInferenceParams	presencePenalty(Double presencePenalty)
LLMObsCustomEvalConfigInferenceParams	putAdditionalProperty(String key, Object value) Set the additional (undeclared) property with the specified name and value.
void	setFrequencyPenalty(Double frequencyPenalty)
void	setMaxTokens(Long maxTokens)
void	setPresencePenalty(Double presencePenalty)
void	setTemperature(Double temperature)
void	setTopK(Long topK)
void	setTopP(Double topP)
LLMObsCustomEvalConfigInferenceParams	temperature(Double temperature)
LLMObsCustomEvalConfigInferenceParams	topK(Long topK)
LLMObsCustomEvalConfigInferenceParams	topP(Double topP)
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

unparsed

public boolean unparsed

JSON_PROPERTY_FREQUENCY_PENALTY

public static final String JSON_PROPERTY_FREQUENCY_PENALTY

See Also:

Constant Field Values

JSON_PROPERTY_MAX_TOKENS

public static final String JSON_PROPERTY_MAX_TOKENS

See Also:

Constant Field Values

JSON_PROPERTY_PRESENCE_PENALTY

public static final String JSON_PROPERTY_PRESENCE_PENALTY

See Also:

Constant Field Values

JSON_PROPERTY_TEMPERATURE

public static final String JSON_PROPERTY_TEMPERATURE

See Also:

Constant Field Values

JSON_PROPERTY_TOP_K

public static final String JSON_PROPERTY_TOP_K

See Also:

Constant Field Values

JSON_PROPERTY_TOP_P

public static final String JSON_PROPERTY_TOP_P

See Also:

Constant Field Values

Constructor Detail

LLMObsCustomEvalConfigInferenceParams

public LLMObsCustomEvalConfigInferenceParams()

Method Detail

frequencyPenalty

public LLMObsCustomEvalConfigInferenceParams frequencyPenalty(Double frequencyPenalty)

getFrequencyPenalty

@Nullable
public Double getFrequencyPenalty()

Frequency penalty to reduce repetition.

Returns:

frequencyPenalty

setFrequencyPenalty

public void setFrequencyPenalty(Double frequencyPenalty)

maxTokens

public LLMObsCustomEvalConfigInferenceParams maxTokens(Long maxTokens)

getMaxTokens

@Nullable
public Long getMaxTokens()

Maximum number of tokens to generate.

Returns:

maxTokens

setMaxTokens

public void setMaxTokens(Long maxTokens)

presencePenalty

public LLMObsCustomEvalConfigInferenceParams presencePenalty(Double presencePenalty)

getPresencePenalty

@Nullable
public Double getPresencePenalty()

Presence penalty to reduce repetition.

Returns:

presencePenalty

setPresencePenalty

public void setPresencePenalty(Double presencePenalty)

temperature

public LLMObsCustomEvalConfigInferenceParams temperature(Double temperature)

getTemperature

@Nullable
public Double getTemperature()

Sampling temperature for the LLM.

Returns:

temperature

setTemperature

public void setTemperature(Double temperature)

topK

public LLMObsCustomEvalConfigInferenceParams topK(Long topK)

getTopK

@Nullable
public Long getTopK()

Top-k sampling parameter.

Returns:

topK

setTopK

public void setTopK(Long topK)

topP

public LLMObsCustomEvalConfigInferenceParams topP(Double topP)

getTopP

@Nullable
public Double getTopP()

Top-p (nucleus) sampling parameter.

Returns:

topP

setTopP

public void setTopP(Double topP)

putAdditionalProperty

public LLMObsCustomEvalConfigInferenceParams putAdditionalProperty(String key,
                                                                   Object value)

Set the additional (undeclared) property with the specified name and value. If the property does not already exist, create it otherwise replace it.

Parameters:

key - The arbitrary key to set

value - The associated value

Returns:

LLMObsCustomEvalConfigInferenceParams

getAdditionalProperties

public Map<String,Object> getAdditionalProperties()

Return the additional (undeclared) property.

Returns:

The additional properties

getAdditionalProperty

public Object getAdditionalProperty(String key)

Return the additional (undeclared) property with the specified name.

Parameters:

key - The arbitrary key to get

Returns:

The specific additional property for the given key

equals

public boolean equals(Object o)

Return true if this LLMObsCustomEvalConfigInferenceParams object is equal to o.

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

toString

public String toString()

Overrides:

toString in class Object