Enum gapi_grpc::google::cloud::dialogflow::cx::v3::nlu_settings::ModelTrainingMode

#[repr(i32)]pub enum ModelTrainingMode {
    Unspecified,
    Automatic,
    Manual,
}

NLU model training mode.

Variants

Unspecified

Not specified. MODEL_TRAINING_MODE_AUTOMATIC will be used.

Automatic

NLU model training is automatically triggered when a flow gets modified. User can also manually trigger model training in this mode.

Manual

User needs to manually trigger NLU model training. Best for large flows whose models take long time to train.

Implementations

impl ModelTrainingMode

pub fn is_valid(value: i32) -> bool

Returns true if value is a variant of ModelTrainingMode.

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

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

Trait Implementations

impl Clone for ModelTrainingMode

fn clone(&self) -> ModelTrainingMode

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for ModelTrainingMode

impl Debug for ModelTrainingMode

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

Formats the value using the given formatter.

impl Default for ModelTrainingMode

fn default() -> ModelTrainingMode

Returns the “default value” for a type.

impl Eq for ModelTrainingMode

impl From<ModelTrainingMode> for i32

fn from(value: ModelTrainingMode) -> i32

Performs the conversion.

impl Hash for ModelTrainingMode

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

Feeds this value into the given Hasher.

pub 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 ModelTrainingMode

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

This method returns an Ordering between self and other.

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

Compares and returns the maximum of two values.

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

Compares and returns the minimum of two values.

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

Restrict a value to a certain interval.

impl PartialEq<ModelTrainingMode> for ModelTrainingMode

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

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

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

This method tests for !=.

impl PartialOrd<ModelTrainingMode> for ModelTrainingMode

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

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

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

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

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

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

#[must_use]pub 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 ModelTrainingMode

impl StructuralPartialEq for ModelTrainingMode