Enum gcp_client::google::cloud::ml::v1::training_input::ScaleTier

#[repr(i32)]pub enum ScaleTier {
    Basic,
    Standard1,
    Premium1,
    BasicGpu,
    Custom,
}

A scale tier is an abstract representation of the resources Cloud ML will allocate to a training job. When selecting a scale tier for your training job, you should consider the size of your training dataset and the complexity of your model. As the tiers increase, virtual machines are added to handle your job, and the individual machines in the cluster generally have more memory and greater processing power than they do at lower tiers. The number of training units charged per hour of processing increases as tiers get more advanced. Refer to the pricing guide for more details. Note that in addition to incurring costs, your use of training resources is constrained by the quota policy.

Variants

Basic

A single worker instance. This tier is suitable for learning how to use Cloud ML, and for experimenting with new models using small datasets.

Standard1

Many workers and a few parameter servers.

Premium1

A large number of workers with many parameter servers.

BasicGpu

A single worker instance with a GPU.

Custom

The CUSTOM tier is not a set tier, but rather enables you to use your own cluster specification. When you use this tier, set values to configure your processing cluster according to these guidelines:

• You must set TrainingInput.masterType to specify the type of machine to use for your master node. This is the only required setting.

• You may set TrainingInput.workerCount to specify the number of workers to use. If you specify one or more workers, you must also set TrainingInput.workerType to specify the type of machine to use for your worker nodes.

• You may set TrainingInput.parameterServerCount to specify the number of parameter servers to use. If you specify one or more parameter servers, you must also set TrainingInput.parameterServerType to specify the type of machine to use for your parameter servers.

Note that all of your workers must use the same machine type, which can be different from your parameter server type and master type. Your parameter servers must likewise use the same machine type, which can be different from your worker type and master type.

Implementations

impl ScaleTier

pub fn is_valid(value: i32) -> bool

Returns true if value is a variant of ScaleTier.

pub fn from_i32(value: i32) -> Option<ScaleTier>

Converts an i32 to a ScaleTier, or None if value is not a valid variant.

Trait Implementations

impl Clone for ScaleTier

fn clone(&self) -> ScaleTier

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for ScaleTier

impl Debug for ScaleTier

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

Formats the value using the given formatter.

impl Default for ScaleTier

fn default() -> ScaleTier

Returns the "default value" for a type.

impl Eq for ScaleTier

impl From<ScaleTier> for i32

fn from(value: ScaleTier) -> i32

Performs the conversion.

impl Hash for ScaleTier

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given [Hasher].

fn hash_slice<H>(data: &[Self], state: &mut H) where
    H: Hasher, 

Feeds a slice of this type into the given [Hasher].

impl Ord for ScaleTier

fn cmp(&self, other: &ScaleTier) -> Ordering

This method returns an [Ordering] between self and other.

#[must_use]fn max(self, other: Self) -> Self

Compares and returns the maximum of two values.

#[must_use]fn min(self, other: Self) -> Self

Compares and returns the minimum of two values.

#[must_use]fn clamp(self, min: Self, max: Self) -> Self

🔬 This is a nightly-only experimental API. (clamp)

Restrict a value to a certain interval.

impl PartialEq<ScaleTier> for ScaleTier

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

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

#[must_use]fn ne(&self, other: &Rhs) -> bool

This method tests for !=.

impl PartialOrd<ScaleTier> for ScaleTier

fn partial_cmp(&self, other: &ScaleTier) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

#[must_use]fn lt(&self, other: &Rhs) -> bool

This method tests less than (for self and other) and is used by the < operator.

#[must_use]fn le(&self, other: &Rhs) -> bool

This method tests less than or equal to (for self and other) and is used by the <= operator.

#[must_use]fn gt(&self, other: &Rhs) -> bool

This method tests greater than (for self and other) and is used by the > operator.

#[must_use]fn ge(&self, other: &Rhs) -> bool

This method tests greater than or equal to (for self and other) and is used by the >= operator.

impl StructuralEq for ScaleTier

impl StructuralPartialEq for ScaleTier