Google Cloud Native is in preview. Google Cloud Classic is fully supported.
google-native.translate/v3.Model
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Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Creates a Model.
Create Model Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Model(name: string, args?: ModelArgs, opts?: CustomResourceOptions);
@overload
def Model(resource_name: str,
args: Optional[ModelArgs] = None,
opts: Optional[ResourceOptions] = None)
@overload
def Model(resource_name: str,
opts: Optional[ResourceOptions] = None,
dataset: Optional[str] = None,
display_name: Optional[str] = None,
location: Optional[str] = None,
name: Optional[str] = None,
project: Optional[str] = None)
func NewModel(ctx *Context, name string, args *ModelArgs, opts ...ResourceOption) (*Model, error)
public Model(string name, ModelArgs? args = null, CustomResourceOptions? opts = null)
type: google-native:translate/v3:Model
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args ModelArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args ModelArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args ModelArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ModelArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args ModelArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var examplemodelResourceResourceFromTranslatev3 = new GoogleNative.Translate.V3.Model("examplemodelResourceResourceFromTranslatev3", new()
{
Dataset = "string",
DisplayName = "string",
Location = "string",
Name = "string",
Project = "string",
});
example, err := translate.NewModel(ctx, "examplemodelResourceResourceFromTranslatev3", &translate.ModelArgs{
Dataset: pulumi.String("string"),
DisplayName: pulumi.String("string"),
Location: pulumi.String("string"),
Name: pulumi.String("string"),
Project: pulumi.String("string"),
})
var examplemodelResourceResourceFromTranslatev3 = new Model("examplemodelResourceResourceFromTranslatev3", ModelArgs.builder()
.dataset("string")
.displayName("string")
.location("string")
.name("string")
.project("string")
.build());
examplemodel_resource_resource_from_translatev3 = google_native.translate.v3.Model("examplemodelResourceResourceFromTranslatev3",
dataset="string",
display_name="string",
location="string",
name="string",
project="string")
const examplemodelResourceResourceFromTranslatev3 = new google_native.translate.v3.Model("examplemodelResourceResourceFromTranslatev3", {
dataset: "string",
displayName: "string",
location: "string",
name: "string",
project: "string",
});
type: google-native:translate/v3:Model
properties:
dataset: string
displayName: string
location: string
name: string
project: string
Model Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The Model resource accepts the following input properties:
- Dataset string
- The dataset from which the model is trained, in form of
projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
- Display
Name string - The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
- Location string
- Name string
- The resource name of the model, in form of
projects/{project-number-or-id}/locations/{location_id}/models/{model_id}
- Project string
- Dataset string
- The dataset from which the model is trained, in form of
projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
- Display
Name string - The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
- Location string
- Name string
- The resource name of the model, in form of
projects/{project-number-or-id}/locations/{location_id}/models/{model_id}
- Project string
- dataset String
- The dataset from which the model is trained, in form of
projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
- display
Name String - The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
- location String
- name String
- The resource name of the model, in form of
projects/{project-number-or-id}/locations/{location_id}/models/{model_id}
- project String
- dataset string
- The dataset from which the model is trained, in form of
projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
- display
Name string - The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
- location string
- name string
- The resource name of the model, in form of
projects/{project-number-or-id}/locations/{location_id}/models/{model_id}
- project string
- dataset str
- The dataset from which the model is trained, in form of
projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
- display_
name str - The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
- location str
- name str
- The resource name of the model, in form of
projects/{project-number-or-id}/locations/{location_id}/models/{model_id}
- project str
- dataset String
- The dataset from which the model is trained, in form of
projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
- display
Name String - The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
- location String
- name String
- The resource name of the model, in form of
projects/{project-number-or-id}/locations/{location_id}/models/{model_id}
- project String
Outputs
All input properties are implicitly available as output properties. Additionally, the Model resource produces the following output properties:
- Create
Time string - Timestamp when the model resource was created, which is also when the training started.
- Id string
- The provider-assigned unique ID for this managed resource.
- Source
Language stringCode - The BCP-47 language code of the source language.
- Target
Language stringCode - The BCP-47 language code of the target language.
- Test
Example intCount - Number of examples (sentence pairs) used to test the model.
- Train
Example intCount - Number of examples (sentence pairs) used to train the model.
- Update
Time string - Timestamp when this model was last updated.
- Validate
Example intCount - Number of examples (sentence pairs) used to validate the model.
- Create
Time string - Timestamp when the model resource was created, which is also when the training started.
- Id string
- The provider-assigned unique ID for this managed resource.
- Source
Language stringCode - The BCP-47 language code of the source language.
- Target
Language stringCode - The BCP-47 language code of the target language.
- Test
Example intCount - Number of examples (sentence pairs) used to test the model.
- Train
Example intCount - Number of examples (sentence pairs) used to train the model.
- Update
Time string - Timestamp when this model was last updated.
- Validate
Example intCount - Number of examples (sentence pairs) used to validate the model.
- create
Time String - Timestamp when the model resource was created, which is also when the training started.
- id String
- The provider-assigned unique ID for this managed resource.
- source
Language StringCode - The BCP-47 language code of the source language.
- target
Language StringCode - The BCP-47 language code of the target language.
- test
Example IntegerCount - Number of examples (sentence pairs) used to test the model.
- train
Example IntegerCount - Number of examples (sentence pairs) used to train the model.
- update
Time String - Timestamp when this model was last updated.
- validate
Example IntegerCount - Number of examples (sentence pairs) used to validate the model.
- create
Time string - Timestamp when the model resource was created, which is also when the training started.
- id string
- The provider-assigned unique ID for this managed resource.
- source
Language stringCode - The BCP-47 language code of the source language.
- target
Language stringCode - The BCP-47 language code of the target language.
- test
Example numberCount - Number of examples (sentence pairs) used to test the model.
- train
Example numberCount - Number of examples (sentence pairs) used to train the model.
- update
Time string - Timestamp when this model was last updated.
- validate
Example numberCount - Number of examples (sentence pairs) used to validate the model.
- create_
time str - Timestamp when the model resource was created, which is also when the training started.
- id str
- The provider-assigned unique ID for this managed resource.
- source_
language_ strcode - The BCP-47 language code of the source language.
- target_
language_ strcode - The BCP-47 language code of the target language.
- test_
example_ intcount - Number of examples (sentence pairs) used to test the model.
- train_
example_ intcount - Number of examples (sentence pairs) used to train the model.
- update_
time str - Timestamp when this model was last updated.
- validate_
example_ intcount - Number of examples (sentence pairs) used to validate the model.
- create
Time String - Timestamp when the model resource was created, which is also when the training started.
- id String
- The provider-assigned unique ID for this managed resource.
- source
Language StringCode - The BCP-47 language code of the source language.
- target
Language StringCode - The BCP-47 language code of the target language.
- test
Example NumberCount - Number of examples (sentence pairs) used to test the model.
- train
Example NumberCount - Number of examples (sentence pairs) used to train the model.
- update
Time String - Timestamp when this model was last updated.
- validate
Example NumberCount - Number of examples (sentence pairs) used to validate the model.
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.