Oracle Cloud Infrastructure v2.11.0 published on Thursday, Sep 19, 2024 by Pulumi
oci.DataScience.getModel
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This data source provides details about a specific Model resource in Oracle Cloud Infrastructure Data Science service.
Gets the specified model’s information.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";
const testModel = oci.DataScience.getModel({
modelId: testModelOciDatascienceModel.id,
});
import pulumi
import pulumi_oci as oci
test_model = oci.DataScience.get_model(model_id=test_model_oci_datascience_model["id"])
package main
import (
"github.com/pulumi/pulumi-oci/sdk/v2/go/oci/DataScience"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := DataScience.GetModel(ctx, &datascience.GetModelArgs{
ModelId: testModelOciDatascienceModel.Id,
}, nil)
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;
return await Deployment.RunAsync(() =>
{
var testModel = Oci.DataScience.GetModel.Invoke(new()
{
ModelId = testModelOciDatascienceModel.Id,
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.DataScience.DataScienceFunctions;
import com.pulumi.oci.DataScience.inputs.GetModelArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
final var testModel = DataScienceFunctions.getModel(GetModelArgs.builder()
.modelId(testModelOciDatascienceModel.id())
.build());
}
}
variables:
testModel:
fn::invoke:
Function: oci:DataScience:getModel
Arguments:
modelId: ${testModelOciDatascienceModel.id}
Using getModel
Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.
function getModel(args: GetModelArgs, opts?: InvokeOptions): Promise<GetModelResult>
function getModelOutput(args: GetModelOutputArgs, opts?: InvokeOptions): Output<GetModelResult>
def get_model(model_id: Optional[str] = None,
opts: Optional[InvokeOptions] = None) -> GetModelResult
def get_model_output(model_id: Optional[pulumi.Input[str]] = None,
opts: Optional[InvokeOptions] = None) -> Output[GetModelResult]
func GetModel(ctx *Context, args *GetModelArgs, opts ...InvokeOption) (*GetModelResult, error)
func GetModelOutput(ctx *Context, args *GetModelOutputArgs, opts ...InvokeOption) GetModelResultOutput
> Note: This function is named GetModel
in the Go SDK.
public static class GetModel
{
public static Task<GetModelResult> InvokeAsync(GetModelArgs args, InvokeOptions? opts = null)
public static Output<GetModelResult> Invoke(GetModelInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetModelResult> getModel(GetModelArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
fn::invoke:
function: oci:DataScience/getModel:getModel
arguments:
# arguments dictionary
The following arguments are supported:
getModel Result
The following output properties are available:
- Artifact
Content stringDisposition - Artifact
Content stringLength - Artifact
Content stringMd5 - Artifact
Last stringModified - Compartment
Id string - The OCID of the model's compartment.
- Created
By string - The OCID of the user who created the model.
- Custom
Metadata List<GetLists Model Custom Metadata List> - An array of custom metadata details for the model.
- Defined
Metadata List<GetLists Model Defined Metadata List> - An array of defined metadata details for the model.
- Dictionary<string, string>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- Description string
- A short description of the model.
- Display
Name string - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- Empty
Model bool - Dictionary<string, string>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example:
{"Department": "Finance"}
- Id string
- The OCID of the model.
- Input
Schema string - Input schema file content in String format
- Model
Artifact string - Model
Id string - Output
Schema string - Output schema file content in String format
- Project
Id string - The OCID of the project associated with the model.
- State string
- The state of the model.
- Time
Created string - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- Artifact
Content stringDisposition - Artifact
Content stringLength - Artifact
Content stringMd5 - Artifact
Last stringModified - Compartment
Id string - The OCID of the model's compartment.
- Created
By string - The OCID of the user who created the model.
- Custom
Metadata []GetLists Model Custom Metadata List - An array of custom metadata details for the model.
- Defined
Metadata []GetLists Model Defined Metadata List - An array of defined metadata details for the model.
- map[string]string
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- Description string
- A short description of the model.
- Display
Name string - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- Empty
Model bool - map[string]string
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example:
{"Department": "Finance"}
- Id string
- The OCID of the model.
- Input
Schema string - Input schema file content in String format
- Model
Artifact string - Model
Id string - Output
Schema string - Output schema file content in String format
- Project
Id string - The OCID of the project associated with the model.
- State string
- The state of the model.
- Time
Created string - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact
Content StringDisposition - artifact
Content StringLength - artifact
Content StringMd5 - artifact
Last StringModified - compartment
Id String - The OCID of the model's compartment.
- created
By String - The OCID of the user who created the model.
- custom
Metadata List<GetLists Model Custom Metadata List> - An array of custom metadata details for the model.
- defined
Metadata List<GetLists Model Defined Metadata List> - An array of defined metadata details for the model.
- Map<String,String>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- description String
- A short description of the model.
- display
Name String - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- empty
Model Boolean - Map<String,String>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example:
{"Department": "Finance"}
- id String
- The OCID of the model.
- input
Schema String - Input schema file content in String format
- model
Artifact String - model
Id String - output
Schema String - Output schema file content in String format
- project
Id String - The OCID of the project associated with the model.
- state String
- The state of the model.
- time
Created String - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact
Content stringDisposition - artifact
Content stringLength - artifact
Content stringMd5 - artifact
Last stringModified - compartment
Id string - The OCID of the model's compartment.
- created
By string - The OCID of the user who created the model.
- custom
Metadata GetLists Model Custom Metadata List[] - An array of custom metadata details for the model.
- defined
Metadata GetLists Model Defined Metadata List[] - An array of defined metadata details for the model.
- {[key: string]: string}
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- description string
- A short description of the model.
- display
Name string - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- empty
Model boolean - {[key: string]: string}
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example:
{"Department": "Finance"}
- id string
- The OCID of the model.
- input
Schema string - Input schema file content in String format
- model
Artifact string - model
Id string - output
Schema string - Output schema file content in String format
- project
Id string - The OCID of the project associated with the model.
- state string
- The state of the model.
- time
Created string - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact_
content_ strdisposition - artifact_
content_ strlength - artifact_
content_ strmd5 - artifact_
last_ strmodified - compartment_
id str - The OCID of the model's compartment.
- created_
by str - The OCID of the user who created the model.
- custom_
metadata_ Sequence[datascience.lists Get Model Custom Metadata List] - An array of custom metadata details for the model.
- defined_
metadata_ Sequence[datascience.lists Get Model Defined Metadata List] - An array of defined metadata details for the model.
- Mapping[str, str]
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- description str
- A short description of the model.
- display_
name str - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- empty_
model bool - Mapping[str, str]
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example:
{"Department": "Finance"}
- id str
- The OCID of the model.
- input_
schema str - Input schema file content in String format
- model_
artifact str - model_
id str - output_
schema str - Output schema file content in String format
- project_
id str - The OCID of the project associated with the model.
- state str
- The state of the model.
- time_
created str - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact
Content StringDisposition - artifact
Content StringLength - artifact
Content StringMd5 - artifact
Last StringModified - compartment
Id String - The OCID of the model's compartment.
- created
By String - The OCID of the user who created the model.
- custom
Metadata List<Property Map>Lists - An array of custom metadata details for the model.
- defined
Metadata List<Property Map>Lists - An array of defined metadata details for the model.
- Map<String>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- description String
- A short description of the model.
- display
Name String - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- empty
Model Boolean - Map<String>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example:
{"Department": "Finance"}
- id String
- The OCID of the model.
- input
Schema String - Input schema file content in String format
- model
Artifact String - model
Id String - output
Schema String - Output schema file content in String format
- project
Id String - The OCID of the project associated with the model.
- state String
- The state of the model.
- time
Created String - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
Supporting Types
GetModelCustomMetadataList
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description string
- A short description of the model.
- key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category str
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description str
- A short description of the model.
- key str
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value str
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
GetModelDefinedMetadataList
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description string
- A short description of the model.
- key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category str
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description str
- A short description of the model.
- key str
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value str
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
Package Details
- Repository
- oci pulumi/pulumi-oci
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
oci
Terraform Provider.