Struct gapi_grpc::google::cloud::aiplatform::v1beta1::study_spec::ConvexStopConfig

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,
}

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

impl Clone for ConvexStopConfig

fn clone(&self) -> ConvexStopConfig

Returns a copy of the value.

pub fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ConvexStopConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ConvexStopConfig

fn default() -> ConvexStopConfig

Returns the “default value” for a type.

impl Message for ConvexStopConfig

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

pub fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message to a buffer.

pub fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message with a length-delimiter to a buffer.

pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes an instance of the message from a buffer.

pub 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.

pub fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes an instance of the message from a buffer, and merges it into self.

pub fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq<ConvexStopConfig> for ConvexStopConfig

fn eq(&self, other: &ConvexStopConfig) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &ConvexStopConfig) -> bool

This method tests for !=.

impl StructuralPartialEq for ConvexStopConfig