Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi
oci.DataScience.getModels
Explore with Pulumi AI
Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi
This data source provides the list of Models in Oracle Cloud Infrastructure Data Science service.
Lists models in the specified compartment.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";
const testModels = oci.DataScience.getModels({
compartmentId: compartmentId,
createdBy: modelCreatedBy,
displayName: modelDisplayName,
id: modelId,
modelVersionSetName: testModelVersionSet.name,
projectId: testProject.id,
state: modelState,
});
import pulumi
import pulumi_oci as oci
test_models = oci.DataScience.get_models(compartment_id=compartment_id,
created_by=model_created_by,
display_name=model_display_name,
id=model_id,
model_version_set_name=test_model_version_set["name"],
project_id=test_project["id"],
state=model_state)
package main
import (
"github.com/pulumi/pulumi-oci/sdk/go/oci/DataScience"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := DataScience.GetModels(ctx, &datascience.GetModelsArgs{
CompartmentId: compartmentId,
CreatedBy: pulumi.StringRef(modelCreatedBy),
DisplayName: pulumi.StringRef(modelDisplayName),
Id: pulumi.StringRef(modelId),
ModelVersionSetName: testModelVersionSet.Name,
ProjectId: pulumi.StringRef(testProject.Id),
State: pulumi.StringRef(modelState),
}, 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 testModels = Oci.DataScience.GetModels.Invoke(new()
{
CompartmentId = compartmentId,
CreatedBy = modelCreatedBy,
DisplayName = modelDisplayName,
Id = modelId,
ModelVersionSetName = testModelVersionSet.Name,
ProjectId = testProject.Id,
State = modelState,
});
});
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.GetModelsArgs;
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 testModels = DataScienceFunctions.getModels(GetModelsArgs.builder()
.compartmentId(compartmentId)
.createdBy(modelCreatedBy)
.displayName(modelDisplayName)
.id(modelId)
.modelVersionSetName(testModelVersionSet.name())
.projectId(testProject.id())
.state(modelState)
.build());
}
}
variables:
testModels:
fn::invoke:
Function: oci:DataScience:getModels
Arguments:
compartmentId: ${compartmentId}
createdBy: ${modelCreatedBy}
displayName: ${modelDisplayName}
id: ${modelId}
modelVersionSetName: ${testModelVersionSet.name}
projectId: ${testProject.id}
state: ${modelState}
Using getModels
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 getModels(args: GetModelsArgs, opts?: InvokeOptions): Promise<GetModelsResult>
function getModelsOutput(args: GetModelsOutputArgs, opts?: InvokeOptions): Output<GetModelsResult>
def get_models(compartment_id: Optional[str] = None,
created_by: Optional[str] = None,
display_name: Optional[str] = None,
filters: Optional[Sequence[_datascience.GetModelsFilter]] = None,
id: Optional[str] = None,
model_version_set_name: Optional[str] = None,
project_id: Optional[str] = None,
state: Optional[str] = None,
version_label: Optional[str] = None,
opts: Optional[InvokeOptions] = None) -> GetModelsResult
def get_models_output(compartment_id: Optional[pulumi.Input[str]] = None,
created_by: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
filters: Optional[pulumi.Input[Sequence[pulumi.Input[_datascience.GetModelsFilterArgs]]]] = None,
id: Optional[pulumi.Input[str]] = None,
model_version_set_name: Optional[pulumi.Input[str]] = None,
project_id: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None,
version_label: Optional[pulumi.Input[str]] = None,
opts: Optional[InvokeOptions] = None) -> Output[GetModelsResult]
func GetModels(ctx *Context, args *GetModelsArgs, opts ...InvokeOption) (*GetModelsResult, error)
func GetModelsOutput(ctx *Context, args *GetModelsOutputArgs, opts ...InvokeOption) GetModelsResultOutput
> Note: This function is named GetModels
in the Go SDK.
public static class GetModels
{
public static Task<GetModelsResult> InvokeAsync(GetModelsArgs args, InvokeOptions? opts = null)
public static Output<GetModelsResult> Invoke(GetModelsInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetModelsResult> getModels(GetModelsArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
fn::invoke:
function: oci:DataScience/getModels:getModels
arguments:
# arguments dictionary
The following arguments are supported:
- Compartment
Id string - Filter results by the OCID of the compartment.
- Model
Version stringSet Name - Version
Label string - Created
By string - Filter results by the OCID of the user who created the resource.
- Display
Name string - Filter results by its user-friendly name.
- Filters
List<Get
Models Filter> - Id string
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- Project
Id string - Filter results by the OCID of the project.
- State string
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- Compartment
Id string - Filter results by the OCID of the compartment.
- Model
Version stringSet Name - Version
Label string - Created
By string - Filter results by the OCID of the user who created the resource.
- Display
Name string - Filter results by its user-friendly name.
- Filters
[]Get
Models Filter - Id string
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- Project
Id string - Filter results by the OCID of the project.
- State string
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- compartment
Id String - Filter results by the OCID of the compartment.
- model
Version StringSet Name - version
Label String - created
By String - Filter results by the OCID of the user who created the resource.
- display
Name String - Filter results by its user-friendly name.
- filters
List<Get
Models Filter> - id String
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- project
Id String - Filter results by the OCID of the project.
- state String
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- compartment
Id string - Filter results by the OCID of the compartment.
- model
Version stringSet Name - version
Label string - created
By string - Filter results by the OCID of the user who created the resource.
- display
Name string - Filter results by its user-friendly name.
- filters
Get
Models Filter[] - id string
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- project
Id string - Filter results by the OCID of the project.
- state string
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- compartment_
id str - Filter results by the OCID of the compartment.
- model_
version_ strset_ name - version_
label str - created_
by str - Filter results by the OCID of the user who created the resource.
- display_
name str - Filter results by its user-friendly name.
- filters
Sequence[datascience.
Get Models Filter] - id str
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- project_
id str - Filter results by the OCID of the project.
- state str
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- compartment
Id String - Filter results by the OCID of the compartment.
- model
Version StringSet Name - version
Label String - created
By String - Filter results by the OCID of the user who created the resource.
- display
Name String - Filter results by its user-friendly name.
- filters List<Property Map>
- id String
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- project
Id String - Filter results by the OCID of the project.
- state String
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
getModels Result
The following output properties are available:
- Compartment
Id string - The OCID of the model's compartment.
- Model
Version stringSet Name - Models
List<Get
Models Model> - The list of models.
- Version
Label string - Created
By string - The OCID of the user who created the model.
- Display
Name string - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- Filters
List<Get
Models Filter> - Id string
- The OCID of the model.
- Project
Id string - The OCID of the project associated with the model.
- State string
- The state of the model.
- Compartment
Id string - The OCID of the model's compartment.
- Model
Version stringSet Name - Models
[]Get
Models Model - The list of models.
- Version
Label string - Created
By string - The OCID of the user who created the model.
- Display
Name string - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- Filters
[]Get
Models Filter - Id string
- The OCID of the model.
- Project
Id string - The OCID of the project associated with the model.
- State string
- The state of the model.
- compartment
Id String - The OCID of the model's compartment.
- model
Version StringSet Name - models
List<Get
Models Model> - The list of models.
- version
Label String - created
By String - The OCID of the user who created the model.
- display
Name String - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- filters
List<Get
Models Filter> - id String
- The OCID of the model.
- project
Id String - The OCID of the project associated with the model.
- state String
- The state of the model.
- compartment
Id string - The OCID of the model's compartment.
- model
Version stringSet Name - models
Get
Models Model[] - The list of models.
- version
Label string - created
By string - The OCID of the user who created the model.
- display
Name string - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- filters
Get
Models Filter[] - id string
- The OCID of the model.
- project
Id string - The OCID of the project associated with the model.
- state string
- The state of the model.
- compartment_
id str - The OCID of the model's compartment.
- model_
version_ strset_ name - models
Sequence[datascience.
Get Models Model] - The list of models.
- version_
label str - created_
by str - The OCID of the user who created 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.
- filters
Sequence[datascience.
Get Models Filter] - id str
- The OCID of the model.
- project_
id str - The OCID of the project associated with the model.
- state str
- The state of the model.
- compartment
Id String - The OCID of the model's compartment.
- model
Version StringSet Name - models List<Property Map>
- The list of models.
- version
Label String - created
By String - The OCID of the user who created the model.
- display
Name String - A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information.
- filters List<Property Map>
- id String
- The OCID of the model.
- project
Id String - The OCID of the project associated with the model.
- state String
- The state of the model.
Supporting Types
GetModelsFilter
GetModelsModel
- Artifact
Content stringDisposition - Artifact
Content stringLength - Artifact
Content stringMd5 - Artifact
Last stringModified - Compartment
Id string - Filter results by the OCID of the compartment.
- Created
By string - Filter results by the OCID of the user who created the resource.
- Custom
Metadata List<GetLists Models Model Custom Metadata List> - An array of custom metadata details for the model.
- Defined
Metadata List<GetLists Models Model Defined Metadata List> - An array of defined metadata details for the model.
- Dictionary<string, object>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- Description string
- A short description of the model.
- Display
Name string - Filter results by its user-friendly name.
- Empty
Model bool - Dictionary<string, object>
- 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
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- Input
Schema string - Input schema file content in String format
- Model
Artifact string - Output
Schema string - Output schema file content in String format
- Project
Id string - Filter results by the OCID of the project.
- State string
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- Time
Created string - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- Artifact
Content stringDisposition - Artifact
Content stringLength - Artifact
Content stringMd5 - Artifact
Last stringModified - Compartment
Id string - Filter results by the OCID of the compartment.
- Created
By string - Filter results by the OCID of the user who created the resource.
- Custom
Metadata []GetLists Models Model Custom Metadata List - An array of custom metadata details for the model.
- Defined
Metadata []GetLists Models Model Defined Metadata List - An array of defined metadata details for the model.
- map[string]interface{}
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- Description string
- A short description of the model.
- Display
Name string - Filter results by its user-friendly name.
- Empty
Model bool - map[string]interface{}
- 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
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- Input
Schema string - Input schema file content in String format
- Model
Artifact string - Output
Schema string - Output schema file content in String format
- Project
Id string - Filter results by the OCID of the project.
- State string
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- Time
Created string - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact
Content StringDisposition - artifact
Content StringLength - artifact
Content StringMd5 - artifact
Last StringModified - compartment
Id String - Filter results by the OCID of the compartment.
- created
By String - Filter results by the OCID of the user who created the resource.
- custom
Metadata List<GetLists Models Model Custom Metadata List> - An array of custom metadata details for the model.
- defined
Metadata List<GetLists Models Model Defined Metadata List> - An array of defined metadata details for the model.
- Map<String,Object>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- description String
- A short description of the model.
- display
Name String - Filter results by its user-friendly name.
- empty
Model Boolean - Map<String,Object>
- 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
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- input
Schema String - Input schema file content in String format
- model
Artifact String - output
Schema String - Output schema file content in String format
- project
Id String - Filter results by the OCID of the project.
- state String
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- time
Created String - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact
Content stringDisposition - artifact
Content stringLength - artifact
Content stringMd5 - artifact
Last stringModified - compartment
Id string - Filter results by the OCID of the compartment.
- created
By string - Filter results by the OCID of the user who created the resource.
- custom
Metadata GetLists Models Model Custom Metadata List[] - An array of custom metadata details for the model.
- defined
Metadata GetLists Models Model Defined Metadata List[] - An array of defined metadata details for the model.
- {[key: string]: any}
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- description string
- A short description of the model.
- display
Name string - Filter results by its user-friendly name.
- empty
Model boolean - {[key: string]: any}
- 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
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- input
Schema string - Input schema file content in String format
- model
Artifact string - output
Schema string - Output schema file content in String format
- project
Id string - Filter results by the OCID of the project.
- state string
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- time
Created string - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact_
content_ strdisposition - artifact_
content_ strlength - artifact_
content_ strmd5 - artifact_
last_ strmodified - compartment_
id str - Filter results by the OCID of the compartment.
- created_
by str - Filter results by the OCID of the user who created the resource.
- custom_
metadata_ Sequence[datascience.lists Get Models Model Custom Metadata List] - An array of custom metadata details for the model.
- defined_
metadata_ Sequence[datascience.lists Get Models Model Defined Metadata List] - An array of defined metadata details for the model.
- Mapping[str, Any]
- 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 - Filter results by its user-friendly name.
- empty_
model bool - Mapping[str, Any]
- 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
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- input_
schema str - Input schema file content in String format
- model_
artifact str - output_
schema str - Output schema file content in String format
- project_
id str - Filter results by the OCID of the project.
- state str
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- time_
created str - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
- artifact
Content StringDisposition - artifact
Content StringLength - artifact
Content StringMd5 - artifact
Last StringModified - compartment
Id String - Filter results by the OCID of the compartment.
- created
By String - Filter results by the OCID of the user who created the resource.
- custom
Metadata List<Property Map>Lists - An array of custom metadata details for the model.
- defined
Metadata List<Property Map>Lists - An array of defined metadata details for the model.
- Map<Any>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:
{"Operations.CostCenter": "42"}
- description String
- A short description of the model.
- display
Name String - Filter results by its user-friendly name.
- empty
Model Boolean - Map<Any>
- 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
- Filter results by OCID. Must be an OCID of the correct type for the resource type.
- input
Schema String - Input schema file content in String format
- model
Artifact String - output
Schema String - Output schema file content in String format
- project
Id String - Filter results by the OCID of the project.
- state String
- Filter results by the specified lifecycle state. Must be a valid state for the resource type.
- time
Created String - The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
GetModelsModelCustomMetadataList
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description string
- A short description of the model.
- key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category str
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description str
- A short description of the model.
- key str
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value str
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
GetModelsModelDefinedMetadataList
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- Category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- Description string
- A short description of the model.
- Key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- Value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category string
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description string
- A short description of the model.
- key string
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value string
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category str
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description str
- A short description of the model.
- key str
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value str
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
- category String
- Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values "Performance,Training Profile,Training and Validation Datasets,Training Environment,other".
- description String
- A short description of the model.
- key String
- Key of the model Metadata. The key can either be user defined or Oracle Cloud Infrastructure defined. List of Oracle Cloud Infrastructure defined keys:
- useCaseType
- libraryName
- libraryVersion
- estimatorClass
- hyperParameters
- testartifactresults
- value String
- Allowed values for useCaseType: binary_classification, regression, multinomial_classification, clustering, recommender, dimensionality_reduction/representation, time_series_forecasting, anomaly_detection, topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
Package Details
- Repository
- oci pulumi/pulumi-oci
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
oci
Terraform Provider.
Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi