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Oracle Cloud Infrastructure v2.31.0 published on Thursday, Apr 17, 2025 by Pulumi
pulumi/pulumi-oci

oci.DataScience.getModel

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Oracle Cloud Infrastructure v2.31.0 published on Thursday, Apr 17, 2025 by Pulumi
pulumi/pulumi-oci

    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)
public static Output<GetModelResult> getModel(GetModelArgs args, InvokeOptions options)

    fn::invoke:
  function: oci:DataScience/getModel:getModel
  arguments:
    # arguments dictionary

    The following arguments are supported:

    ModelId string
    The OCID of the model.
    ModelId string
    The OCID of the model.
    modelId String
    The OCID of the model.
    modelId string
    The OCID of the model.
    model_id str
    The OCID of the model.
    modelId 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 string
    The backup status of the model.
    BackupStateDetails string
    The backup execution status details of the model.
    TimeLastBackup string
    The last backup execution time of the model.
    BackupState string
    The backup status of the model.
    BackupStateDetails string
    The backup execution status details of the model.
    TimeLastBackup string
    The last backup execution time of the model.
    backupState String
    The backup status of the model.
    backupStateDetails String
    The backup execution status details of the model.
    timeLastBackup String
    The last backup execution time of the model.
    backupState string
    The backup status of the model.
    backupStateDetails string
    The backup execution status details of the model.
    timeLastBackup string
    The last backup execution time of the model.
    backup_state str
    The backup status of the model.
    backup_state_details str
    The backup execution status details of the model.
    time_last_backup str
    The last backup execution time of the model.
    backupState String
    The backup status of the model.
    backupStateDetails String
    The backup execution status details of the model.
    timeLastBackup String
    The last backup execution time of the model.

    GetModelBackupSetting

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

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

    GetModelRetentionOperationDetail

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

    GetModelRetentionSetting

    ArchiveAfterDays int
    Number of days after which the model will be archived.
    CustomerNotificationType string
    Customer notification options on success/failure of archival, deletion events.
    DeleteAfterDays int
    Number of days after which the archived model will be deleted.
    ArchiveAfterDays int
    Number of days after which the model will be archived.
    CustomerNotificationType string
    Customer notification options on success/failure of archival, deletion events.
    DeleteAfterDays int
    Number of days after which the archived model will be deleted.
    archiveAfterDays Integer
    Number of days after which the model will be archived.
    customerNotificationType String
    Customer notification options on success/failure of archival, deletion events.
    deleteAfterDays Integer
    Number of days after which the archived model will be deleted.
    archiveAfterDays number
    Number of days after which the model will be archived.
    customerNotificationType string
    Customer notification options on success/failure of archival, deletion events.
    deleteAfterDays number
    Number of days after which the archived model will be deleted.
    archive_after_days int
    Number of days after which the model will be archived.
    customer_notification_type str
    Customer notification options on success/failure of archival, deletion events.
    delete_after_days int
    Number of days after which the archived model will be deleted.
    archiveAfterDays Number
    Number of days after which the model will be archived.
    customerNotificationType String
    Customer notification options on success/failure of archival, deletion events.
    deleteAfterDays 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.
    oci logo
    Oracle Cloud Infrastructure v2.31.0 published on Thursday, Apr 17, 2025 by Pulumi
    pulumi/pulumi-oci