Struct google_api_proto::google::cloud::aiplatform::v1beta1::ActiveLearningConfig

pub struct ActiveLearningConfig {
    pub sample_config: Option<SampleConfig>,
    pub training_config: Option<TrainingConfig>,
    pub human_labeling_budget: Option<HumanLabelingBudget>,
}

Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

Fields

sample_config: Option<SampleConfig>

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

training_config: Option<TrainingConfig>

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

human_labeling_budget: Option<HumanLabelingBudget>

Required. Max human labeling DataItems. The rest part will be labeled by machine.

Trait Implementations

impl Clone for ActiveLearningConfig

fn clone(&self) -> ActiveLearningConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ActiveLearningConfig

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

Formats the value using the given formatter.

impl Default for ActiveLearningConfig

fn default() -> Self

Returns the “default value” for a type.

impl Message for ActiveLearningConfig

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.

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

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

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

where Self: Sized,

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

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

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

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

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

where Self: Sized,

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

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

where Self: Sized,

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

impl PartialEq for ActiveLearningConfig

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

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

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

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for ActiveLearningConfig

impl StructuralPartialEq for ActiveLearningConfig