Struct google_ml1::GoogleCloudMlV1__Model
source · pub struct GoogleCloudMlV1__Model {
pub regions: Option<Vec<String>>,
pub etag: Option<String>,
pub default_version: Option<GoogleCloudMlV1__Version>,
pub name: Option<String>,
pub labels: Option<HashMap<String, String>>,
pub online_prediction_logging: Option<bool>,
pub description: Option<String>,
}
Expand description
Represents a machine learning solution.
A model can have multiple versions, each of which is a deployed, trained model ready to receive prediction requests. The model itself is just a container.
§Activities
This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).
- models get projects (response)
- models patch projects (request)
- models create projects (request|response)
Fields§
§regions: Option<Vec<String>>
Optional. The list of regions where the model is going to be deployed. Currently only one region per model is supported. Defaults to ‘us-central1’ if nothing is set. Note:
- No matter where a model is deployed, it can always be accessed by users from anywhere, both for online and batch prediction.
- The region for a batch prediction job is set by the region field when submitting the batch prediction job and does not take its value from this field.
etag: Option<String>
etag
is used for optimistic concurrency control as a way to help
prevent simultaneous updates of a model from overwriting each other.
It is strongly suggested that systems make use of the etag
in the
read-modify-write cycle to perform model updates in order to avoid race
conditions: An etag
is returned in the response to GetModel
, and
systems are expected to put that etag in the request to UpdateModel
to
ensure that their change will be applied to the model as intended.
default_version: Option<GoogleCloudMlV1__Version>
Output only. The default version of the model. This version will be used to handle prediction requests that do not specify a version.
You can change the default version by calling projects.methods.versions.setDefault.
name: Option<String>
Required. The name specified for the model when it was created.
The model name must be unique within the project it is created in.
labels: Option<HashMap<String, String>>
Optional. One or more labels that you can add, to organize your models. Each label is a key-value pair, where both the key and the value are arbitrary strings that you supply. For more information, see the documentation on using labels.
online_prediction_logging: Option<bool>
Optional. If true, enables StackDriver Logging for online prediction. Default is false.
description: Option<String>
Optional. The description specified for the model when it was created.
Trait Implementations§
source§impl Clone for GoogleCloudMlV1__Model
impl Clone for GoogleCloudMlV1__Model
source§fn clone(&self) -> GoogleCloudMlV1__Model
fn clone(&self) -> GoogleCloudMlV1__Model
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for GoogleCloudMlV1__Model
impl Debug for GoogleCloudMlV1__Model
source§impl Default for GoogleCloudMlV1__Model
impl Default for GoogleCloudMlV1__Model
source§fn default() -> GoogleCloudMlV1__Model
fn default() -> GoogleCloudMlV1__Model
source§impl<'de> Deserialize<'de> for GoogleCloudMlV1__Model
impl<'de> Deserialize<'de> for GoogleCloudMlV1__Model
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
source§impl Serialize for GoogleCloudMlV1__Model
impl Serialize for GoogleCloudMlV1__Model
impl RequestValue for GoogleCloudMlV1__Model
impl ResponseResult for GoogleCloudMlV1__Model
Auto Trait Implementations§
impl Freeze for GoogleCloudMlV1__Model
impl RefUnwindSafe for GoogleCloudMlV1__Model
impl Send for GoogleCloudMlV1__Model
impl Sync for GoogleCloudMlV1__Model
impl Unpin for GoogleCloudMlV1__Model
impl UnwindSafe for GoogleCloudMlV1__Model
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
source§default unsafe fn clone_to_uninit(&self, dst: *mut T)
default unsafe fn clone_to_uninit(&self, dst: *mut T)
clone_to_uninit
)source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more