Docs Home Pulumi IaC Pulumi ESC Pulumi Insights Pulumi Cloud Packages Tutorials
  1. Packages
  2. Oracle Cloud Infrastructure
  3. API Docs
  4. DataScience
  5. getMlApplicationImplementation
Oracle Cloud Infrastructure v2.32.0 published on Thursday, Apr 24, 2025 by Pulumi
pulumi/pulumi-oci

oci.DataScience.getMlApplicationImplementation

Explore with Pulumi AI

oci logo
Oracle Cloud Infrastructure v2.32.0 published on Thursday, Apr 24, 2025 by Pulumi
pulumi/pulumi-oci

    This data source provides details about a specific Ml Application Implementation resource in Oracle Cloud Infrastructure Data Science service.

    Gets a MlApplicationImplementation by identifier

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testMlApplicationImplementation = oci.DataScience.getMlApplicationImplementation({
    mlApplicationImplementationId: testMlApplicationImplementationOciDatascienceMlApplicationImplementation.id,
});

    import pulumi
import pulumi_oci as oci

test_ml_application_implementation = oci.DataScience.get_ml_application_implementation(ml_application_implementation_id=test_ml_application_implementation_oci_datascience_ml_application_implementation["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.GetMlApplicationImplementation(ctx, &datascience.GetMlApplicationImplementationArgs{
			MlApplicationImplementationId: testMlApplicationImplementationOciDatascienceMlApplicationImplementation.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 testMlApplicationImplementation = Oci.DataScience.GetMlApplicationImplementation.Invoke(new()
    {
        MlApplicationImplementationId = testMlApplicationImplementationOciDatascienceMlApplicationImplementation.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.GetMlApplicationImplementationArgs;
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 testMlApplicationImplementation = DataScienceFunctions.getMlApplicationImplementation(GetMlApplicationImplementationArgs.builder()
            .mlApplicationImplementationId(testMlApplicationImplementationOciDatascienceMlApplicationImplementation.id())
            .build());

    }
}

    variables:
  testMlApplicationImplementation:
    fn::invoke:
      function: oci:DataScience:getMlApplicationImplementation
      arguments:
        mlApplicationImplementationId: ${testMlApplicationImplementationOciDatascienceMlApplicationImplementation.id}

    Using getMlApplicationImplementation

    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 getMlApplicationImplementation(args: GetMlApplicationImplementationArgs, opts?: InvokeOptions): Promise<GetMlApplicationImplementationResult>
function getMlApplicationImplementationOutput(args: GetMlApplicationImplementationOutputArgs, opts?: InvokeOptions): Output<GetMlApplicationImplementationResult>
    def get_ml_application_implementation(ml_application_implementation_id: Optional[str] = None,
                                      opts: Optional[InvokeOptions] = None) -> GetMlApplicationImplementationResult
def get_ml_application_implementation_output(ml_application_implementation_id: Optional[pulumi.Input[str]] = None,
                                      opts: Optional[InvokeOptions] = None) -> Output[GetMlApplicationImplementationResult]
    func GetMlApplicationImplementation(ctx *Context, args *GetMlApplicationImplementationArgs, opts ...InvokeOption) (*GetMlApplicationImplementationResult, error)
func GetMlApplicationImplementationOutput(ctx *Context, args *GetMlApplicationImplementationOutputArgs, opts ...InvokeOption) GetMlApplicationImplementationResultOutput

    > Note: This function is named GetMlApplicationImplementation in the Go SDK.

    public static class GetMlApplicationImplementation 
{
    public static Task<GetMlApplicationImplementationResult> InvokeAsync(GetMlApplicationImplementationArgs args, InvokeOptions? opts = null)
    public static Output<GetMlApplicationImplementationResult> Invoke(GetMlApplicationImplementationInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetMlApplicationImplementationResult> getMlApplicationImplementation(GetMlApplicationImplementationArgs args, InvokeOptions options)
public static Output<GetMlApplicationImplementationResult> getMlApplicationImplementation(GetMlApplicationImplementationArgs args, InvokeOptions options)

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

    The following arguments are supported:

    MlApplicationImplementationId string
    unique MlApplicationImplementation identifier
    MlApplicationImplementationId string
    unique MlApplicationImplementation identifier
    mlApplicationImplementationId String
    unique MlApplicationImplementation identifier
    mlApplicationImplementationId string
    unique MlApplicationImplementation identifier
    ml_application_implementation_id str
    unique MlApplicationImplementation identifier
    mlApplicationImplementationId String
    unique MlApplicationImplementation identifier

    getMlApplicationImplementation Result

    The following output properties are available:

    AllowedMigrationDestinations List<string>
    List of ML Application Implementation OCIDs for which migration from this implementation is allowed. Migration means that if consumers change implementation for their instances to implementation with OCID from this list, instance components will be updated in place otherwise new instance components are created based on the new implementation and old instance components are removed.
    ApplicationComponents List<GetMlApplicationImplementationApplicationComponent>
    List of application components (OCI resources shared for all MlApplicationInstances). These have been created automatically based on their definitions in the ML Application package.
    CompartmentId string
    The OCID of the compartment where ML Application Implementation is created.
    ConfigurationSchemas List<GetMlApplicationImplementationConfigurationSchema>
    Schema of configuration which needs to be provided for each ML Application Instance. It is defined in the ML Application package descriptor.
    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
    short description of the argument
    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 MlApplicationImplementation. Unique identifier that is immutable after creation.
    LifecycleDetails string
    A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state.
    Loggings List<GetMlApplicationImplementationLogging>
    Configuration of Logging for ML Application Implementation.
    MlApplicationId string
    The OCID of the ML Application implemented by this ML Application Implementation.
    MlApplicationImplementationId string
    MlApplicationName string
    The name of ML Application (based on mlApplicationId)
    MlApplicationPackage Dictionary<string, string>
    MlApplicationPackageArguments List<GetMlApplicationImplementationMlApplicationPackageArgument>
    List of ML Application package arguments provided during ML Application package upload.
    Name string
    ML Application Implementation name which is unique for given ML Application.
    OpcMlAppPackageArgs Dictionary<string, string>
    PackageVersion string
    The version of ML Application Package (e.g. "1.2" or "2.0.4") defined in ML Application package descriptor. Value is not mandatory only for CREATING state otherwise it must be always presented.
    State string
    The current state of the MlApplicationImplementation.
    SystemTags Dictionary<string, string>
    Usage of system tag keys. These predefined keys are scoped to namespaces. Example: {"orcl-cloud.free-tier-retained": "true"}
    TimeCreated string
    Creation time of MlApplicationImplementation creation in the format defined by RFC 3339.
    TimeUpdated string
    Time of last MlApplicationImplementation update in the format defined by RFC 3339.
    AllowedMigrationDestinations []string
    List of ML Application Implementation OCIDs for which migration from this implementation is allowed. Migration means that if consumers change implementation for their instances to implementation with OCID from this list, instance components will be updated in place otherwise new instance components are created based on the new implementation and old instance components are removed.
    ApplicationComponents []GetMlApplicationImplementationApplicationComponent
    List of application components (OCI resources shared for all MlApplicationInstances). These have been created automatically based on their definitions in the ML Application package.
    CompartmentId string
    The OCID of the compartment where ML Application Implementation is created.
    ConfigurationSchemas []GetMlApplicationImplementationConfigurationSchema
    Schema of configuration which needs to be provided for each ML Application Instance. It is defined in the ML Application package descriptor.
    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
    short description of the argument
    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 MlApplicationImplementation. Unique identifier that is immutable after creation.
    LifecycleDetails string
    A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state.
    Loggings []GetMlApplicationImplementationLogging
    Configuration of Logging for ML Application Implementation.
    MlApplicationId string
    The OCID of the ML Application implemented by this ML Application Implementation.
    MlApplicationImplementationId string
    MlApplicationName string
    The name of ML Application (based on mlApplicationId)
    MlApplicationPackage map[string]string
    MlApplicationPackageArguments []GetMlApplicationImplementationMlApplicationPackageArgument
    List of ML Application package arguments provided during ML Application package upload.
    Name string
    ML Application Implementation name which is unique for given ML Application.
    OpcMlAppPackageArgs map[string]string
    PackageVersion string
    The version of ML Application Package (e.g. "1.2" or "2.0.4") defined in ML Application package descriptor. Value is not mandatory only for CREATING state otherwise it must be always presented.
    State string
    The current state of the MlApplicationImplementation.
    SystemTags map[string]string
    Usage of system tag keys. These predefined keys are scoped to namespaces. Example: {"orcl-cloud.free-tier-retained": "true"}
    TimeCreated string
    Creation time of MlApplicationImplementation creation in the format defined by RFC 3339.
    TimeUpdated string
    Time of last MlApplicationImplementation update in the format defined by RFC 3339.
    allowedMigrationDestinations List<String>
    List of ML Application Implementation OCIDs for which migration from this implementation is allowed. Migration means that if consumers change implementation for their instances to implementation with OCID from this list, instance components will be updated in place otherwise new instance components are created based on the new implementation and old instance components are removed.
    applicationComponents List<GetMlApplicationImplementationApplicationComponent>
    List of application components (OCI resources shared for all MlApplicationInstances). These have been created automatically based on their definitions in the ML Application package.
    compartmentId String
    The OCID of the compartment where ML Application Implementation is created.
    configurationSchemas List<GetMlApplicationImplementationConfigurationSchema>
    Schema of configuration which needs to be provided for each ML Application Instance. It is defined in the ML Application package descriptor.
    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
    short description of the argument
    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 MlApplicationImplementation. Unique identifier that is immutable after creation.
    lifecycleDetails String
    A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state.
    loggings List<GetMlApplicationImplementationLogging>
    Configuration of Logging for ML Application Implementation.
    mlApplicationId String
    The OCID of the ML Application implemented by this ML Application Implementation.
    mlApplicationImplementationId String
    mlApplicationName String
    The name of ML Application (based on mlApplicationId)
    mlApplicationPackage Map<String,String>
    mlApplicationPackageArguments List<GetMlApplicationImplementationMlApplicationPackageArgument>
    List of ML Application package arguments provided during ML Application package upload.
    name String
    ML Application Implementation name which is unique for given ML Application.
    opcMlAppPackageArgs Map<String,String>
    packageVersion String
    The version of ML Application Package (e.g. "1.2" or "2.0.4") defined in ML Application package descriptor. Value is not mandatory only for CREATING state otherwise it must be always presented.
    state String
    The current state of the MlApplicationImplementation.
    systemTags Map<String,String>
    Usage of system tag keys. These predefined keys are scoped to namespaces. Example: {"orcl-cloud.free-tier-retained": "true"}
    timeCreated String
    Creation time of MlApplicationImplementation creation in the format defined by RFC 3339.
    timeUpdated String
    Time of last MlApplicationImplementation update in the format defined by RFC 3339.
    allowedMigrationDestinations string[]
    List of ML Application Implementation OCIDs for which migration from this implementation is allowed. Migration means that if consumers change implementation for their instances to implementation with OCID from this list, instance components will be updated in place otherwise new instance components are created based on the new implementation and old instance components are removed.
    applicationComponents GetMlApplicationImplementationApplicationComponent[]
    List of application components (OCI resources shared for all MlApplicationInstances). These have been created automatically based on their definitions in the ML Application package.
    compartmentId string
    The OCID of the compartment where ML Application Implementation is created.
    configurationSchemas GetMlApplicationImplementationConfigurationSchema[]
    Schema of configuration which needs to be provided for each ML Application Instance. It is defined in the ML Application package descriptor.
    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
    short description of the argument
    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 MlApplicationImplementation. Unique identifier that is immutable after creation.
    lifecycleDetails string
    A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state.
    loggings GetMlApplicationImplementationLogging[]
    Configuration of Logging for ML Application Implementation.
    mlApplicationId string
    The OCID of the ML Application implemented by this ML Application Implementation.
    mlApplicationImplementationId string
    mlApplicationName string
    The name of ML Application (based on mlApplicationId)
    mlApplicationPackage {[key: string]: string}
    mlApplicationPackageArguments GetMlApplicationImplementationMlApplicationPackageArgument[]
    List of ML Application package arguments provided during ML Application package upload.
    name string
    ML Application Implementation name which is unique for given ML Application.
    opcMlAppPackageArgs {[key: string]: string}
    packageVersion string
    The version of ML Application Package (e.g. "1.2" or "2.0.4") defined in ML Application package descriptor. Value is not mandatory only for CREATING state otherwise it must be always presented.
    state string
    The current state of the MlApplicationImplementation.
    systemTags {[key: string]: string}
    Usage of system tag keys. These predefined keys are scoped to namespaces. Example: {"orcl-cloud.free-tier-retained": "true"}
    timeCreated string
    Creation time of MlApplicationImplementation creation in the format defined by RFC 3339.
    timeUpdated string
    Time of last MlApplicationImplementation update in the format defined by RFC 3339.
    allowed_migration_destinations Sequence[str]
    List of ML Application Implementation OCIDs for which migration from this implementation is allowed. Migration means that if consumers change implementation for their instances to implementation with OCID from this list, instance components will be updated in place otherwise new instance components are created based on the new implementation and old instance components are removed.
    application_components Sequence[datascience.GetMlApplicationImplementationApplicationComponent]
    List of application components (OCI resources shared for all MlApplicationInstances). These have been created automatically based on their definitions in the ML Application package.
    compartment_id str
    The OCID of the compartment where ML Application Implementation is created.
    configuration_schemas Sequence[datascience.GetMlApplicationImplementationConfigurationSchema]
    Schema of configuration which needs to be provided for each ML Application Instance. It is defined in the ML Application package descriptor.
    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
    short description of the argument
    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 MlApplicationImplementation. Unique identifier that is immutable after creation.
    lifecycle_details str
    A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state.
    loggings Sequence[datascience.GetMlApplicationImplementationLogging]
    Configuration of Logging for ML Application Implementation.
    ml_application_id str
    The OCID of the ML Application implemented by this ML Application Implementation.
    ml_application_implementation_id str
    ml_application_name str
    The name of ML Application (based on mlApplicationId)
    ml_application_package Mapping[str, str]
    ml_application_package_arguments Sequence[datascience.GetMlApplicationImplementationMlApplicationPackageArgument]
    List of ML Application package arguments provided during ML Application package upload.
    name str
    ML Application Implementation name which is unique for given ML Application.
    opc_ml_app_package_args Mapping[str, str]
    package_version str
    The version of ML Application Package (e.g. "1.2" or "2.0.4") defined in ML Application package descriptor. Value is not mandatory only for CREATING state otherwise it must be always presented.
    state str
    The current state of the MlApplicationImplementation.
    system_tags Mapping[str, str]
    Usage of system tag keys. These predefined keys are scoped to namespaces. Example: {"orcl-cloud.free-tier-retained": "true"}
    time_created str
    Creation time of MlApplicationImplementation creation in the format defined by RFC 3339.
    time_updated str
    Time of last MlApplicationImplementation update in the format defined by RFC 3339.
    allowedMigrationDestinations List<String>
    List of ML Application Implementation OCIDs for which migration from this implementation is allowed. Migration means that if consumers change implementation for their instances to implementation with OCID from this list, instance components will be updated in place otherwise new instance components are created based on the new implementation and old instance components are removed.
    applicationComponents List<Property Map>
    List of application components (OCI resources shared for all MlApplicationInstances). These have been created automatically based on their definitions in the ML Application package.
    compartmentId String
    The OCID of the compartment where ML Application Implementation is created.
    configurationSchemas List<Property Map>
    Schema of configuration which needs to be provided for each ML Application Instance. It is defined in the ML Application package descriptor.
    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
    short description of the argument
    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 MlApplicationImplementation. Unique identifier that is immutable after creation.
    lifecycleDetails String
    A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state.
    loggings List<Property Map>
    Configuration of Logging for ML Application Implementation.
    mlApplicationId String
    The OCID of the ML Application implemented by this ML Application Implementation.
    mlApplicationImplementationId String
    mlApplicationName String
    The name of ML Application (based on mlApplicationId)
    mlApplicationPackage Map<String>
    mlApplicationPackageArguments List<Property Map>
    List of ML Application package arguments provided during ML Application package upload.
    name String
    ML Application Implementation name which is unique for given ML Application.
    opcMlAppPackageArgs Map<String>
    packageVersion String
    The version of ML Application Package (e.g. "1.2" or "2.0.4") defined in ML Application package descriptor. Value is not mandatory only for CREATING state otherwise it must be always presented.
    state String
    The current state of the MlApplicationImplementation.
    systemTags Map<String>
    Usage of system tag keys. These predefined keys are scoped to namespaces. Example: {"orcl-cloud.free-tier-retained": "true"}
    timeCreated String
    Creation time of MlApplicationImplementation creation in the format defined by RFC 3339.
    timeUpdated String
    Time of last MlApplicationImplementation update in the format defined by RFC 3339.

    Supporting Types

    GetMlApplicationImplementationApplicationComponent

    ApplicationId string
    OCID of Data Flow Application
    ComponentName string
    Name of application component
    Id string
    The OCID of the MlApplicationImplementation. Unique identifier that is immutable after creation.
    JobId string
    OCID of Data Science Job
    ModelId string
    OCID of Data Science Model
    Name string
    ML Application Implementation name which is unique for given ML Application.
    PipelineId string
    OCID of Data Science Pipeline
    ResourceType string
    Type of the resource
    Type string
    type of the argument
    ApplicationId string
    OCID of Data Flow Application
    ComponentName string
    Name of application component
    Id string
    The OCID of the MlApplicationImplementation. Unique identifier that is immutable after creation.
    JobId string
    OCID of Data Science Job
    ModelId string
    OCID of Data Science Model
    Name string
    ML Application Implementation name which is unique for given ML Application.
    PipelineId string
    OCID of Data Science Pipeline
    ResourceType string
    Type of the resource
    Type string
    type of the argument
    applicationId String
    OCID of Data Flow Application
    componentName String
    Name of application component
    id String
    The OCID of the MlApplicationImplementation. Unique identifier that is immutable after creation.
    jobId String
    OCID of Data Science Job
    modelId String
    OCID of Data Science Model
    name String
    ML Application Implementation name which is unique for given ML Application.
    pipelineId String
    OCID of Data Science Pipeline
    resourceType String
    Type of the resource
    type String
    type of the argument
    applicationId string
    OCID of Data Flow Application
    componentName string
    Name of application component
    id string
    The OCID of the MlApplicationImplementation. Unique identifier that is immutable after creation.
    jobId string
    OCID of Data Science Job
    modelId string
    OCID of Data Science Model
    name string
    ML Application Implementation name which is unique for given ML Application.
    pipelineId string
    OCID of Data Science Pipeline
    resourceType string
    Type of the resource
    type string
    type of the argument
    application_id str
    OCID of Data Flow Application
    component_name str
    Name of application component
    id str
    The OCID of the MlApplicationImplementation. Unique identifier that is immutable after creation.
    job_id str
    OCID of Data Science Job
    model_id str
    OCID of Data Science Model
    name str
    ML Application Implementation name which is unique for given ML Application.
    pipeline_id str
    OCID of Data Science Pipeline
    resource_type str
    Type of the resource
    type str
    type of the argument
    applicationId String
    OCID of Data Flow Application
    componentName String
    Name of application component
    id String
    The OCID of the MlApplicationImplementation. Unique identifier that is immutable after creation.
    jobId String
    OCID of Data Science Job
    modelId String
    OCID of Data Science Model
    name String
    ML Application Implementation name which is unique for given ML Application.
    pipelineId String
    OCID of Data Science Pipeline
    resourceType String
    Type of the resource
    type String
    type of the argument

    GetMlApplicationImplementationConfigurationSchema

    DefaultValue string
    The default value for the optional configuration property (it must not be specified for mandatory configuration properties)
    Description string
    short description of the argument
    IsMandatory bool
    argument is mandatory or not
    KeyName string
    Name of key (parameter name)
    SampleValue string
    Sample property value (it must match validationRegexp if it is specified)
    ValidationRegexp string
    A regular expression will be used for the validation of property value.
    ValueType string
    Type of value
    DefaultValue string
    The default value for the optional configuration property (it must not be specified for mandatory configuration properties)
    Description string
    short description of the argument
    IsMandatory bool
    argument is mandatory or not
    KeyName string
    Name of key (parameter name)
    SampleValue string
    Sample property value (it must match validationRegexp if it is specified)
    ValidationRegexp string
    A regular expression will be used for the validation of property value.
    ValueType string
    Type of value
    defaultValue String
    The default value for the optional configuration property (it must not be specified for mandatory configuration properties)
    description String
    short description of the argument
    isMandatory Boolean
    argument is mandatory or not
    keyName String
    Name of key (parameter name)
    sampleValue String
    Sample property value (it must match validationRegexp if it is specified)
    validationRegexp String
    A regular expression will be used for the validation of property value.
    valueType String
    Type of value
    defaultValue string
    The default value for the optional configuration property (it must not be specified for mandatory configuration properties)
    description string
    short description of the argument
    isMandatory boolean
    argument is mandatory or not
    keyName string
    Name of key (parameter name)
    sampleValue string
    Sample property value (it must match validationRegexp if it is specified)
    validationRegexp string
    A regular expression will be used for the validation of property value.
    valueType string
    Type of value
    default_value str
    The default value for the optional configuration property (it must not be specified for mandatory configuration properties)
    description str
    short description of the argument
    is_mandatory bool
    argument is mandatory or not
    key_name str
    Name of key (parameter name)
    sample_value str
    Sample property value (it must match validationRegexp if it is specified)
    validation_regexp str
    A regular expression will be used for the validation of property value.
    value_type str
    Type of value
    defaultValue String
    The default value for the optional configuration property (it must not be specified for mandatory configuration properties)
    description String
    short description of the argument
    isMandatory Boolean
    argument is mandatory or not
    keyName String
    Name of key (parameter name)
    sampleValue String
    Sample property value (it must match validationRegexp if it is specified)
    validationRegexp String
    A regular expression will be used for the validation of property value.
    valueType String
    Type of value

    GetMlApplicationImplementationLogging

    AggregatedInstanceViewLogs List<GetMlApplicationImplementationLoggingAggregatedInstanceViewLog>
    Log configuration details for particular areas of ML Application Implementation.
    ImplementationLogs List<GetMlApplicationImplementationLoggingImplementationLog>
    Log configuration details for particular areas of ML Application Implementation.
    TriggerLogs List<GetMlApplicationImplementationLoggingTriggerLog>
    Log configuration details for particular areas of ML Application Implementation.
    AggregatedInstanceViewLogs []GetMlApplicationImplementationLoggingAggregatedInstanceViewLog
    Log configuration details for particular areas of ML Application Implementation.
    ImplementationLogs []GetMlApplicationImplementationLoggingImplementationLog
    Log configuration details for particular areas of ML Application Implementation.
    TriggerLogs []GetMlApplicationImplementationLoggingTriggerLog
    Log configuration details for particular areas of ML Application Implementation.
    aggregatedInstanceViewLogs List<GetMlApplicationImplementationLoggingAggregatedInstanceViewLog>
    Log configuration details for particular areas of ML Application Implementation.
    implementationLogs List<GetMlApplicationImplementationLoggingImplementationLog>
    Log configuration details for particular areas of ML Application Implementation.
    triggerLogs List<GetMlApplicationImplementationLoggingTriggerLog>
    Log configuration details for particular areas of ML Application Implementation.
    aggregatedInstanceViewLogs GetMlApplicationImplementationLoggingAggregatedInstanceViewLog[]
    Log configuration details for particular areas of ML Application Implementation.
    implementationLogs GetMlApplicationImplementationLoggingImplementationLog[]
    Log configuration details for particular areas of ML Application Implementation.
    triggerLogs GetMlApplicationImplementationLoggingTriggerLog[]
    Log configuration details for particular areas of ML Application Implementation.
    aggregated_instance_view_logs Sequence[datascience.GetMlApplicationImplementationLoggingAggregatedInstanceViewLog]
    Log configuration details for particular areas of ML Application Implementation.
    implementation_logs Sequence[datascience.GetMlApplicationImplementationLoggingImplementationLog]
    Log configuration details for particular areas of ML Application Implementation.
    trigger_logs Sequence[datascience.GetMlApplicationImplementationLoggingTriggerLog]
    Log configuration details for particular areas of ML Application Implementation.
    aggregatedInstanceViewLogs List<Property Map>
    Log configuration details for particular areas of ML Application Implementation.
    implementationLogs List<Property Map>
    Log configuration details for particular areas of ML Application Implementation.
    triggerLogs List<Property Map>
    Log configuration details for particular areas of ML Application Implementation.

    GetMlApplicationImplementationLoggingAggregatedInstanceViewLog

    EnableLogging bool
    If logging is enabled.
    LogGroupId string
    The OCID of the log group.
    LogId string
    The OCID of the log.
    EnableLogging bool
    If logging is enabled.
    LogGroupId string
    The OCID of the log group.
    LogId string
    The OCID of the log.
    enableLogging Boolean
    If logging is enabled.
    logGroupId String
    The OCID of the log group.
    logId String
    The OCID of the log.
    enableLogging boolean
    If logging is enabled.
    logGroupId string
    The OCID of the log group.
    logId string
    The OCID of the log.
    enable_logging bool
    If logging is enabled.
    log_group_id str
    The OCID of the log group.
    log_id str
    The OCID of the log.
    enableLogging Boolean
    If logging is enabled.
    logGroupId String
    The OCID of the log group.
    logId String
    The OCID of the log.

    GetMlApplicationImplementationLoggingImplementationLog

    EnableLogging bool
    If logging is enabled.
    LogGroupId string
    The OCID of the log group.
    LogId string
    The OCID of the log.
    EnableLogging bool
    If logging is enabled.
    LogGroupId string
    The OCID of the log group.
    LogId string
    The OCID of the log.
    enableLogging Boolean
    If logging is enabled.
    logGroupId String
    The OCID of the log group.
    logId String
    The OCID of the log.
    enableLogging boolean
    If logging is enabled.
    logGroupId string
    The OCID of the log group.
    logId string
    The OCID of the log.
    enable_logging bool
    If logging is enabled.
    log_group_id str
    The OCID of the log group.
    log_id str
    The OCID of the log.
    enableLogging Boolean
    If logging is enabled.
    logGroupId String
    The OCID of the log group.
    logId String
    The OCID of the log.

    GetMlApplicationImplementationLoggingTriggerLog

    EnableLogging bool
    If logging is enabled.
    LogGroupId string
    The OCID of the log group.
    LogId string
    The OCID of the log.
    EnableLogging bool
    If logging is enabled.
    LogGroupId string
    The OCID of the log group.
    LogId string
    The OCID of the log.
    enableLogging Boolean
    If logging is enabled.
    logGroupId String
    The OCID of the log group.
    logId String
    The OCID of the log.
    enableLogging boolean
    If logging is enabled.
    logGroupId string
    The OCID of the log group.
    logId string
    The OCID of the log.
    enable_logging bool
    If logging is enabled.
    log_group_id str
    The OCID of the log group.
    log_id str
    The OCID of the log.
    enableLogging Boolean
    If logging is enabled.
    logGroupId String
    The OCID of the log group.
    logId String
    The OCID of the log.

    GetMlApplicationImplementationMlApplicationPackageArgument

    arguments List<Property Map>
    Array of the ML Application package arguments

    GetMlApplicationImplementationMlApplicationPackageArgumentArgument

    Description string
    short description of the argument
    IsMandatory bool
    argument is mandatory or not
    Name string
    ML Application Implementation name which is unique for given ML Application.
    Type string
    type of the argument
    Value string
    Argument value
    Description string
    short description of the argument
    IsMandatory bool
    argument is mandatory or not
    Name string
    ML Application Implementation name which is unique for given ML Application.
    Type string
    type of the argument
    Value string
    Argument value
    description String
    short description of the argument
    isMandatory Boolean
    argument is mandatory or not
    name String
    ML Application Implementation name which is unique for given ML Application.
    type String
    type of the argument
    value String
    Argument value
    description string
    short description of the argument
    isMandatory boolean
    argument is mandatory or not
    name string
    ML Application Implementation name which is unique for given ML Application.
    type string
    type of the argument
    value string
    Argument value
    description str
    short description of the argument
    is_mandatory bool
    argument is mandatory or not
    name str
    ML Application Implementation name which is unique for given ML Application.
    type str
    type of the argument
    value str
    Argument value
    description String
    short description of the argument
    isMandatory Boolean
    argument is mandatory or not
    name String
    ML Application Implementation name which is unique for given ML Application.
    type String
    type of the argument
    value String
    Argument value

    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 v2.32.0 published on Thursday, Apr 24, 2025 by Pulumi
    pulumi/pulumi-oci