Reference documentation and code samples for the Google Cloud Dialogflow Cx V3 Client class ModelParameter.
Parameters to be passed to the LLM. If not set, default values will be used.
Generated from protobuf message google.cloud.dialogflow.cx.v3.Generator.ModelParameter
Namespace
Google \ Cloud \ Dialogflow \ Cx \ V3 \ GeneratorMethods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ temperature
float
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.
↳ max_decode_steps
int
The maximum number of tokens to generate.
↳ top_p
float
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.
↳ top_k
int
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.
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.
float
hasTemperature
clearTemperature
setTemperature
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.
var
float
$this
getMaxDecodeSteps
The maximum number of tokens to generate.
int
hasMaxDecodeSteps
clearMaxDecodeSteps
setMaxDecodeSteps
The maximum number of tokens to generate.
var
int
$this
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.
float
hasTopP
clearTopP
setTopP
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.
var
float
$this
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.
int
hasTopK
clearTopK
setTopK
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.
var
int
$this
