com.google.cloud.dialogflow.cx.v3

Interface Generator.ModelParameterOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

Generator.ModelParameter, Generator.ModelParameter.Builder

Enclosing class:

Generator

public static interface Generator.ModelParameterOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
int	getMaxDecodeSteps() The maximum number of tokens to generate.
float	getTemperature() The temperature used for sampling.
int	getTopK() If set, the sampling process in each step is limited to the top_k tokens with highest probabilities.
float	getTopP() If set, only the tokens comprising the top top_p probability mass are considered.
boolean	hasMaxDecodeSteps() The maximum number of tokens to generate.
boolean	hasTemperature() The temperature used for sampling.
boolean	hasTopK() If set, the sampling process in each step is limited to the top_k tokens with highest probabilities.
boolean	hasTopP() If set, only the tokens comprising the top top_p probability mass are considered.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasTemperature

boolean hasTemperature()

 The temperature used for sampling. Temperature sampling occurs after both
 topP and topK have been applied.
 Valid range: [0.0, 1.0]
 Low temperature = less random. High temperature = more random.
 

optional float temperature = 1;

Returns:

Whether the temperature field is set.

getTemperature

float getTemperature()

 The temperature used for sampling. Temperature sampling occurs after both
 topP and topK have been applied.
 Valid range: [0.0, 1.0]
 Low temperature = less random. High temperature = more random.
 

optional float temperature = 1;

Returns:

The temperature.

hasMaxDecodeSteps

boolean hasMaxDecodeSteps()

 The maximum number of tokens to generate.
 

optional int32 max_decode_steps = 2;

Returns:

Whether the maxDecodeSteps field is set.

getMaxDecodeSteps

int getMaxDecodeSteps()

 The maximum number of tokens to generate.
 

optional int32 max_decode_steps = 2;

Returns:

The maxDecodeSteps.

hasTopP

boolean hasTopP()

 If set, only the tokens comprising the top top_p probability mass are
 considered. If both top_p and top_k are
 set, top_p will be used for further refining candidates selected with
 top_k.
 Valid range: (0.0, 1.0].
 Small topP = less random. Large topP = more random.
 

optional float top_p = 3;

Returns:

Whether the topP field is set.

getTopP

float getTopP()

 If set, only the tokens comprising the top top_p probability mass are
 considered. If both top_p and top_k are
 set, top_p will be used for further refining candidates selected with
 top_k.
 Valid range: (0.0, 1.0].
 Small topP = less random. Large topP = more random.
 

optional float top_p = 3;

Returns:

The topP.

hasTopK

boolean hasTopK()

 If set, the sampling process in each step is limited to the top_k tokens
 with highest probabilities.
 Valid range: [1, 40] or 1000+.
 Small topK = less random. Large topK = more random.
 

optional int32 top_k = 4;

Returns:

Whether the topK field is set.

getTopK

int getTopK()

 If set, the sampling process in each step is limited to the top_k tokens
 with highest probabilities.
 Valid range: [1, 40] or 1000+.
 Small topK = less random. Large topK = more random.
 

optional int32 top_k = 4;

Returns:

The topK.