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Oracle Cloud Infrastructure v2.31.0 published on Thursday, Apr 17, 2025 by Pulumi

oci.DataScience.getModel

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Oracle Cloud Infrastructure v2.31.0 published on Thursday, Apr 17, 2025 by Pulumi

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,
});
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import pulumi
import pulumi_oci as oci

test_model = oci.DataScience.get_model(model_id=test_model_oci_datascience_model["id"])
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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
	})
}
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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,
    });

});
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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());

    }
}
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variables:
  testModel:
    fn::invoke:
      function: oci:DataScience:getModel
      arguments:
        modelId: ${testModelOciDatascienceModel.id}
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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>
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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]
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func GetModel(ctx *Context, args *GetModelArgs, opts ...InvokeOption) (*GetModelResult, error)
func GetModelOutput(ctx *Context, args *GetModelOutputArgs, opts ...InvokeOption) GetModelResultOutput
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> 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)
}
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public static CompletableFuture<GetModelResult> getModel(GetModelArgs args, InvokeOptions options)
public static Output<GetModelResult> getModel(GetModelArgs args, InvokeOptions options)
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fn::invoke:
  function: oci:DataScience/getModel:getModel
  arguments:
    # arguments dictionary
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The following arguments are supported:

ModelId This property is required. string
The OCID of the model.
ModelId This property is required. string
The OCID of the model.
modelId This property is required. String
The OCID of the model.
modelId This property is required. string
The OCID of the model.
model_id This property is required. str
The OCID of the model.
modelId This property is required. String
The OCID of the model.

getModel Result

The following output properties are available:

ArtifactContentDisposition string
ArtifactContentLength string
ArtifactContentMd5 string
ArtifactLastModified string
BackupOperationDetails List<GetModelBackupOperationDetail>
Backup operation details of the model.
BackupSettings List<GetModelBackupSetting>
Back up setting details of the model.
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,Reports,Readme,other".
CompartmentId string
The OCID of the model's compartment.
CreatedBy string
The OCID of the user who created the model.
CustomMetadataLists List<GetModelCustomMetadataList>
An array of custom metadata details for the model.
DefinedMetadataLists List<GetModelDefinedMetadataList>
An array of defined metadata details for the model.
DefinedTags 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.
DisplayName string
A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
EmptyModel bool
FreeformTags 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.
InputSchema string
Input schema file content in String format
IsModelByReference bool
Identifier to indicate whether a model artifact resides in the Service Tenancy or Customer Tenancy.
LifecycleDetails string
Details about the lifecycle state of the model.
ModelArtifact string
ModelId string
ModelVersionSetId string
The OCID of the model version set that the model is associated to.
ModelVersionSetName string
The name of the model version set that the model is associated to.
OutputSchema string
Output schema file content in String format
ProjectId string
The OCID of the project associated with the model.
RetentionOperationDetails List<GetModelRetentionOperationDetail>
Retention operation details for the model.
RetentionSettings List<GetModelRetentionSetting>
Retention setting details of the model.
State string
The state of the model.
TimeCreated string
The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
VersionLabel string
ArtifactContentDisposition string
ArtifactContentLength string
ArtifactContentMd5 string
ArtifactLastModified string
BackupOperationDetails []GetModelBackupOperationDetail
Backup operation details of the model.
BackupSettings []GetModelBackupSetting
Back up setting details of the model.
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,Reports,Readme,other".
CompartmentId string
The OCID of the model's compartment.
CreatedBy string
The OCID of the user who created the model.
CustomMetadataLists []GetModelCustomMetadataList
An array of custom metadata details for the model.
DefinedMetadataLists []GetModelDefinedMetadataList
An array of defined metadata details for the model.
DefinedTags 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.
DisplayName string
A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
EmptyModel bool
FreeformTags 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.
InputSchema string
Input schema file content in String format
IsModelByReference bool
Identifier to indicate whether a model artifact resides in the Service Tenancy or Customer Tenancy.
LifecycleDetails string
Details about the lifecycle state of the model.
ModelArtifact string
ModelId string
ModelVersionSetId string
The OCID of the model version set that the model is associated to.
ModelVersionSetName string
The name of the model version set that the model is associated to.
OutputSchema string
Output schema file content in String format
ProjectId string
The OCID of the project associated with the model.
RetentionOperationDetails []GetModelRetentionOperationDetail
Retention operation details for the model.
RetentionSettings []GetModelRetentionSetting
Retention setting details of the model.
State string
The state of the model.
TimeCreated string
The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
VersionLabel string
artifactContentDisposition String
artifactContentLength String
artifactContentMd5 String
artifactLastModified String
backupOperationDetails List<GetModelBackupOperationDetail>
Backup operation details of the model.
backupSettings List<GetModelBackupSetting>
Back up setting details of the model.
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,Reports,Readme,other".
compartmentId String
The OCID of the model's compartment.
createdBy String
The OCID of the user who created the model.
customMetadataLists List<GetModelCustomMetadataList>
An array of custom metadata details for the model.
definedMetadataLists List<GetModelDefinedMetadataList>
An array of defined metadata details for the model.
definedTags 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.
displayName String
A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
emptyModel Boolean
freeformTags 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.
inputSchema String
Input schema file content in String format
isModelByReference Boolean
Identifier to indicate whether a model artifact resides in the Service Tenancy or Customer Tenancy.
lifecycleDetails String
Details about the lifecycle state of the model.
modelArtifact String
modelId String
modelVersionSetId String
The OCID of the model version set that the model is associated to.
modelVersionSetName String
The name of the model version set that the model is associated to.
outputSchema String
Output schema file content in String format
projectId String
The OCID of the project associated with the model.
retentionOperationDetails List<GetModelRetentionOperationDetail>
Retention operation details for the model.
retentionSettings List<GetModelRetentionSetting>
Retention setting details of the model.
state String
The state of the model.
timeCreated String
The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
versionLabel String
artifactContentDisposition string
artifactContentLength string
artifactContentMd5 string
artifactLastModified string
backupOperationDetails GetModelBackupOperationDetail[]
Backup operation details of the model.
backupSettings GetModelBackupSetting[]
Back up setting details of the model.
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,Reports,Readme,other".
compartmentId string
The OCID of the model's compartment.
createdBy string
The OCID of the user who created the model.
customMetadataLists GetModelCustomMetadataList[]
An array of custom metadata details for the model.
definedMetadataLists GetModelDefinedMetadataList[]
An array of defined metadata details for the model.
definedTags {[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.
displayName string
A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
emptyModel boolean
freeformTags {[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.
inputSchema string
Input schema file content in String format
isModelByReference boolean
Identifier to indicate whether a model artifact resides in the Service Tenancy or Customer Tenancy.
lifecycleDetails string
Details about the lifecycle state of the model.
modelArtifact string
modelId string
modelVersionSetId string
The OCID of the model version set that the model is associated to.
modelVersionSetName string
The name of the model version set that the model is associated to.
outputSchema string
Output schema file content in String format
projectId string
The OCID of the project associated with the model.
retentionOperationDetails GetModelRetentionOperationDetail[]
Retention operation details for the model.
retentionSettings GetModelRetentionSetting[]
Retention setting details of the model.
state string
The state of the model.
timeCreated string
The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
versionLabel string
artifact_content_disposition str
artifact_content_length str
artifact_content_md5 str
artifact_last_modified str
backup_operation_details Sequence[datascience.GetModelBackupOperationDetail]
Backup operation details of the model.
backup_settings Sequence[datascience.GetModelBackupSetting]
Back up setting details of the model.
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,Reports,Readme,other".
compartment_id str
The OCID of the model's compartment.
created_by str
The OCID of the user who created the model.
custom_metadata_lists Sequence[datascience.GetModelCustomMetadataList]
An array of custom metadata details for the model.
defined_metadata_lists Sequence[datascience.GetModelDefinedMetadataList]
An array of defined metadata details for the model.
defined_tags 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
freeform_tags 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
is_model_by_reference bool
Identifier to indicate whether a model artifact resides in the Service Tenancy or Customer Tenancy.
lifecycle_details str
Details about the lifecycle state of the model.
model_artifact str
model_id str
model_version_set_id str
The OCID of the model version set that the model is associated to.
model_version_set_name str
The name of the model version set that the model is associated to.
output_schema str
Output schema file content in String format
project_id str
The OCID of the project associated with the model.
retention_operation_details Sequence[datascience.GetModelRetentionOperationDetail]
Retention operation details for the model.
retention_settings Sequence[datascience.GetModelRetentionSetting]
Retention setting details of 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
version_label str
artifactContentDisposition String
artifactContentLength String
artifactContentMd5 String
artifactLastModified String
backupOperationDetails List<Property Map>
Backup operation details of the model.
backupSettings List<Property Map>
Back up setting details of the model.
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,Reports,Readme,other".
compartmentId String
The OCID of the model's compartment.
createdBy String
The OCID of the user who created the model.
customMetadataLists List<Property Map>
An array of custom metadata details for the model.
definedMetadataLists List<Property Map>
An array of defined metadata details for the model.
definedTags 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.
displayName String
A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
emptyModel Boolean
freeformTags 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.
inputSchema String
Input schema file content in String format
isModelByReference Boolean
Identifier to indicate whether a model artifact resides in the Service Tenancy or Customer Tenancy.
lifecycleDetails String
Details about the lifecycle state of the model.
modelArtifact String
modelId String
modelVersionSetId String
The OCID of the model version set that the model is associated to.
modelVersionSetName String
The name of the model version set that the model is associated to.
outputSchema String
Output schema file content in String format
projectId String
The OCID of the project associated with the model.
retentionOperationDetails List<Property Map>
Retention operation details for the model.
retentionSettings List<Property Map>
Retention setting details of the model.
state String
The state of the model.
timeCreated String
The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
versionLabel String

Supporting Types

GetModelBackupOperationDetail

BackupState This property is required. string
The backup status of the model.
BackupStateDetails This property is required. string
The backup execution status details of the model.
TimeLastBackup This property is required. string
The last backup execution time of the model.
BackupState This property is required. string
The backup status of the model.
BackupStateDetails This property is required. string
The backup execution status details of the model.
TimeLastBackup This property is required. string
The last backup execution time of the model.
backupState This property is required. String
The backup status of the model.
backupStateDetails This property is required. String
The backup execution status details of the model.
timeLastBackup This property is required. String
The last backup execution time of the model.
backupState This property is required. string
The backup status of the model.
backupStateDetails This property is required. string
The backup execution status details of the model.
timeLastBackup This property is required. string
The last backup execution time of the model.
backup_state This property is required. str
The backup status of the model.
backup_state_details This property is required. str
The backup execution status details of the model.
time_last_backup This property is required. str
The last backup execution time of the model.
backupState This property is required. String
The backup status of the model.
backupStateDetails This property is required. String
The backup execution status details of the model.
timeLastBackup This property is required. String
The last backup execution time of the model.

GetModelBackupSetting

BackupRegion This property is required. string
Oracle Cloud Infrastructure backup region for the model.
CustomerNotificationType This property is required. string
Customer notification options on success/failure of archival, deletion events.
IsBackupEnabled This property is required. bool
Boolean flag representing whether backup needs to be enabled/disabled for the model.
BackupRegion This property is required. string
Oracle Cloud Infrastructure backup region for the model.
CustomerNotificationType This property is required. string
Customer notification options on success/failure of archival, deletion events.
IsBackupEnabled This property is required. bool
Boolean flag representing whether backup needs to be enabled/disabled for the model.
backupRegion This property is required. String
Oracle Cloud Infrastructure backup region for the model.
customerNotificationType This property is required. String
Customer notification options on success/failure of archival, deletion events.
isBackupEnabled This property is required. Boolean
Boolean flag representing whether backup needs to be enabled/disabled for the model.
backupRegion This property is required. string
Oracle Cloud Infrastructure backup region for the model.
customerNotificationType This property is required. string
Customer notification options on success/failure of archival, deletion events.
isBackupEnabled This property is required. boolean
Boolean flag representing whether backup needs to be enabled/disabled for the model.
backup_region This property is required. str
Oracle Cloud Infrastructure backup region for the model.
customer_notification_type This property is required. str
Customer notification options on success/failure of archival, deletion events.
is_backup_enabled This property is required. bool
Boolean flag representing whether backup needs to be enabled/disabled for the model.
backupRegion This property is required. String
Oracle Cloud Infrastructure backup region for the model.
customerNotificationType This property is required. String
Customer notification options on success/failure of archival, deletion events.
isBackupEnabled This property is required. Boolean
Boolean flag representing whether backup needs to be enabled/disabled for the model.

GetModelCustomMetadataList

Category This property is required. 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,Reports,Readme,other".
Description This property is required. string
A short description of the model.
HasArtifact This property is required. bool
Is there any artifact present for the metadata.
Key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
Keywords This property is required. List<string>
list of keywords for searching
Value This property is required. 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 This property is required. 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,Reports,Readme,other".
Description This property is required. string
A short description of the model.
HasArtifact This property is required. bool
Is there any artifact present for the metadata.
Key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
Keywords This property is required. []string
list of keywords for searching
Value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. String
A short description of the model.
hasArtifact This property is required. Boolean
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. List<String>
list of keywords for searching
value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. string
A short description of the model.
hasArtifact This property is required. boolean
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. string[]
list of keywords for searching
value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. str
A short description of the model.
has_artifact This property is required. bool
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. Sequence[str]
list of keywords for searching
value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. String
A short description of the model.
hasArtifact This property is required. Boolean
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. List<String>
list of keywords for searching
value This property is required. 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 This property is required. 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,Reports,Readme,other".
Description This property is required. string
A short description of the model.
HasArtifact This property is required. bool
Is there any artifact present for the metadata.
Key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
Keywords This property is required. List<string>
list of keywords for searching
Value This property is required. 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 This property is required. 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,Reports,Readme,other".
Description This property is required. string
A short description of the model.
HasArtifact This property is required. bool
Is there any artifact present for the metadata.
Key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
Keywords This property is required. []string
list of keywords for searching
Value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. String
A short description of the model.
hasArtifact This property is required. Boolean
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. List<String>
list of keywords for searching
value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. string
A short description of the model.
hasArtifact This property is required. boolean
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. string[]
list of keywords for searching
value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. str
A short description of the model.
has_artifact This property is required. bool
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. Sequence[str]
list of keywords for searching
value This property is required. 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 This property is required. 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,Reports,Readme,other".
description This property is required. String
A short description of the model.
hasArtifact This property is required. Boolean
Is there any artifact present for the metadata.
key This property is required. 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
  • fineTuningConfiguration
  • deploymentConfiguration
  • readme
  • license
  • evaluationConfiguration
keywords This property is required. List<String>
list of keywords for searching
value This property is required. 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

GetModelRetentionOperationDetail

ArchiveState This property is required. string
The archival status of model.
ArchiveStateDetails This property is required. string
The archival state details of the model.
DeleteState This property is required. string
The deletion status of the archived model.
DeleteStateDetails This property is required. string
The deletion status details of the archived model.
TimeArchivalScheduled This property is required. string
The estimated archival time of the model based on the provided retention setting.
TimeDeletionScheduled This property is required. string
The estimated deletion time of the model based on the provided retention setting.
ArchiveState This property is required. string
The archival status of model.
ArchiveStateDetails This property is required. string
The archival state details of the model.
DeleteState This property is required. string
The deletion status of the archived model.
DeleteStateDetails This property is required. string
The deletion status details of the archived model.
TimeArchivalScheduled This property is required. string
The estimated archival time of the model based on the provided retention setting.
TimeDeletionScheduled This property is required. string
The estimated deletion time of the model based on the provided retention setting.
archiveState This property is required. String
The archival status of model.
archiveStateDetails This property is required. String
The archival state details of the model.
deleteState This property is required. String
The deletion status of the archived model.
deleteStateDetails This property is required. String
The deletion status details of the archived model.
timeArchivalScheduled This property is required. String
The estimated archival time of the model based on the provided retention setting.
timeDeletionScheduled This property is required. String
The estimated deletion time of the model based on the provided retention setting.
archiveState This property is required. string
The archival status of model.
archiveStateDetails This property is required. string
The archival state details of the model.
deleteState This property is required. string
The deletion status of the archived model.
deleteStateDetails This property is required. string
The deletion status details of the archived model.
timeArchivalScheduled This property is required. string
The estimated archival time of the model based on the provided retention setting.
timeDeletionScheduled This property is required. string
The estimated deletion time of the model based on the provided retention setting.
archive_state This property is required. str
The archival status of model.
archive_state_details This property is required. str
The archival state details of the model.
delete_state This property is required. str
The deletion status of the archived model.
delete_state_details This property is required. str
The deletion status details of the archived model.
time_archival_scheduled This property is required. str
The estimated archival time of the model based on the provided retention setting.
time_deletion_scheduled This property is required. str
The estimated deletion time of the model based on the provided retention setting.
archiveState This property is required. String
The archival status of model.
archiveStateDetails This property is required. String
The archival state details of the model.
deleteState This property is required. String
The deletion status of the archived model.
deleteStateDetails This property is required. String
The deletion status details of the archived model.
timeArchivalScheduled This property is required. String
The estimated archival time of the model based on the provided retention setting.
timeDeletionScheduled This property is required. String
The estimated deletion time of the model based on the provided retention setting.

GetModelRetentionSetting

ArchiveAfterDays This property is required. int
Number of days after which the model will be archived.
CustomerNotificationType This property is required. string
Customer notification options on success/failure of archival, deletion events.
DeleteAfterDays This property is required. int
Number of days after which the archived model will be deleted.
ArchiveAfterDays This property is required. int
Number of days after which the model will be archived.
CustomerNotificationType This property is required. string
Customer notification options on success/failure of archival, deletion events.
DeleteAfterDays This property is required. int
Number of days after which the archived model will be deleted.
archiveAfterDays This property is required. Integer
Number of days after which the model will be archived.
customerNotificationType This property is required. String
Customer notification options on success/failure of archival, deletion events.
deleteAfterDays This property is required. Integer
Number of days after which the archived model will be deleted.
archiveAfterDays This property is required. number
Number of days after which the model will be archived.
customerNotificationType This property is required. string
Customer notification options on success/failure of archival, deletion events.
deleteAfterDays This property is required. number
Number of days after which the archived model will be deleted.
archive_after_days This property is required. int
Number of days after which the model will be archived.
customer_notification_type This property is required. str
Customer notification options on success/failure of archival, deletion events.
delete_after_days This property is required. int
Number of days after which the archived model will be deleted.
archiveAfterDays This property is required. Number
Number of days after which the model will be archived.
customerNotificationType This property is required. String
Customer notification options on success/failure of archival, deletion events.
deleteAfterDays This property is required. Number
Number of days after which the archived model will be deleted.

Package Details

Repository
oci pulumi/pulumi-oci
License
Apache-2.0
Notes
This Pulumi package is based on the oci Terraform Provider.
Oracle Cloud Infrastructure v2.31.0 published on Thursday, Apr 17, 2025 by Pulumi