Struct ManagedMachineLearningDiagnosticsConfig 

#[non_exhaustive]
pub struct ManagedMachineLearningDiagnosticsConfig {
    pub enabled: Option<bool>,
    /* private fields */
}

ManagedMachineLearningDiagnosticsConfig is the configuration for the GKE Managed Machine Learning Diagnostics pipeline.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

enabled: Option<bool>

Enable/Disable Managed Machine Learning Diagnostics.

Implementations

impl ManagedMachineLearningDiagnosticsConfig

pub fn new() -> Self

Creates a new default instance.

pub fn set_enabled<T>(self, v: T) -> Self

where T: Into<bool>,

Sets the value of enabled.

Example

let x = ManagedMachineLearningDiagnosticsConfig::new().set_enabled(true);

pub fn set_or_clear_enabled<T>(self, v: Option<T>) -> Self

where T: Into<bool>,

Sets or clears the value of enabled.

Example

let x = ManagedMachineLearningDiagnosticsConfig::new().set_or_clear_enabled(Some(false));
let x = ManagedMachineLearningDiagnosticsConfig::new().set_or_clear_enabled(None::<bool>);

Trait Implementations

impl Clone for ManagedMachineLearningDiagnosticsConfig

fn clone(&self) -> ManagedMachineLearningDiagnosticsConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ManagedMachineLearningDiagnosticsConfig

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

Formats the value using the given formatter.

impl Default for ManagedMachineLearningDiagnosticsConfig

fn default() -> ManagedMachineLearningDiagnosticsConfig

Returns the “default value” for a type.

impl Message for ManagedMachineLearningDiagnosticsConfig

fn typename() -> &'static str

The typename of this message.

impl PartialEq for ManagedMachineLearningDiagnosticsConfig

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for ManagedMachineLearningDiagnosticsConfig