Struct googapis::google::cloud::aiplatform::v1beta1::study_spec::ConvexStopConfig [−][src]
pub struct ConvexStopConfig {
pub max_num_steps: i64,
pub min_num_steps: i64,
pub autoregressive_order: i64,
pub learning_rate_parameter_name: String,
pub use_seconds: bool,
}
Expand description
Configuration for ConvexStopPolicy.
Fields
max_num_steps: i64
Steps used in predicting the final objective for early stopped trials. In general, it’s set to be the same as the defined steps in training / tuning. When use_steps is false, this field is set to the maximum elapsed seconds.
min_num_steps: i64
Minimum number of steps for a trial to complete. Trials which do not have a measurement with num_steps > min_num_steps won’t be considered for early stopping. It’s ok to set it to 0, and a trial can be early stopped at any stage. By default, min_num_steps is set to be one-tenth of the max_num_steps. When use_steps is false, this field is set to the minimum elapsed seconds.
autoregressive_order: i64
The number of Trial measurements used in autoregressive model for value prediction. A trial won’t be considered early stopping if has fewer measurement points.
learning_rate_parameter_name: String
The hyper-parameter name used in the tuning job that stands for learning rate. Leave it blank if learning rate is not in a parameter in tuning. The learning_rate is used to estimate the objective value of the ongoing trial.
use_seconds: bool
This bool determines whether or not the rule is applied based on elapsed_secs or steps. If use_seconds==false, the early stopping decision is made according to the predicted objective values according to the target steps. If use_seconds==true, elapsed_secs is used instead of steps. Also, in this case, the parameters max_num_steps and min_num_steps are overloaded to contain max_elapsed_seconds and min_elapsed_seconds.
Trait Implementations
fn merge_field<B>(
&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
Returns the encoded length of the message without a length delimiter.
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Encodes the message to a newly allocated buffer.
Encodes the message with a length-delimiter to a buffer. Read more
Encodes the message with a length-delimiter to a newly allocated buffer.
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fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
Decodes a length-delimited instance of the message from the buffer.
Decodes an instance of the message from a buffer, and merges it into self
. Read more
Decodes a length-delimited instance of the message from buffer, and
merges it into self
. Read more
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for ConvexStopConfig
impl Send for ConvexStopConfig
impl Sync for ConvexStopConfig
impl Unpin for ConvexStopConfig
impl UnwindSafe for ConvexStopConfig
Blanket Implementations
Mutably borrows from an owned value. Read more
Wrap the input message T
in a tonic::Request
pub fn vzip(self) -> V
Attaches the provided Subscriber
to this type, returning a
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