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Oracle Cloud Infrastructure v2.11.0 published on Thursday, Sep 19, 2024 by Pulumi
pulumi/pulumi-oci

oci.DataScience.Model

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Oracle Cloud Infrastructure v2.11.0 published on Thursday, Sep 19, 2024 by Pulumi
pulumi/pulumi-oci

    This resource provides the Model resource in Oracle Cloud Infrastructure Data Science service.

    Creates a new model.

    Example Usage

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

const testModel = new oci.datascience.Model("test_model", {
    compartmentId: compartmentId,
    projectId: testProject.id,
    customMetadataLists: [{
        category: modelCustomMetadataListCategory,
        description: modelCustomMetadataListDescription,
        key: modelCustomMetadataListKey,
        value: modelCustomMetadataListValue,
    }],
    definedMetadataLists: [{
        category: modelDefinedMetadataListCategory,
        description: modelDefinedMetadataListDescription,
        key: modelDefinedMetadataListKey,
        value: modelDefinedMetadataListValue,
    }],
    definedTags: {
        "Operations.CostCenter": "42",
    },
    description: modelDescription,
    displayName: modelDisplayName,
    freeformTags: {
        Department: "Finance",
    },
    inputSchema: modelInputSchema,
    outputSchema: modelOutputSchema,
});

    import pulumi
import pulumi_oci as oci

test_model = oci.data_science.Model("test_model",
    compartment_id=compartment_id,
    project_id=test_project["id"],
    custom_metadata_lists=[{
        "category": model_custom_metadata_list_category,
        "description": model_custom_metadata_list_description,
        "key": model_custom_metadata_list_key,
        "value": model_custom_metadata_list_value,
    }],
    defined_metadata_lists=[{
        "category": model_defined_metadata_list_category,
        "description": model_defined_metadata_list_description,
        "key": model_defined_metadata_list_key,
        "value": model_defined_metadata_list_value,
    }],
    defined_tags={
        "Operations.CostCenter": "42",
    },
    description=model_description,
    display_name=model_display_name,
    freeform_tags={
        "Department": "Finance",
    },
    input_schema=model_input_schema,
    output_schema=model_output_schema)

    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.NewModel(ctx, "test_model", &DataScience.ModelArgs{
			CompartmentId: pulumi.Any(compartmentId),
			ProjectId:     pulumi.Any(testProject.Id),
			CustomMetadataLists: datascience.ModelCustomMetadataListArray{
				&datascience.ModelCustomMetadataListArgs{
					Category:    pulumi.Any(modelCustomMetadataListCategory),
					Description: pulumi.Any(modelCustomMetadataListDescription),
					Key:         pulumi.Any(modelCustomMetadataListKey),
					Value:       pulumi.Any(modelCustomMetadataListValue),
				},
			},
			DefinedMetadataLists: datascience.ModelDefinedMetadataListArray{
				&datascience.ModelDefinedMetadataListArgs{
					Category:    pulumi.Any(modelDefinedMetadataListCategory),
					Description: pulumi.Any(modelDefinedMetadataListDescription),
					Key:         pulumi.Any(modelDefinedMetadataListKey),
					Value:       pulumi.Any(modelDefinedMetadataListValue),
				},
			},
			DefinedTags: pulumi.StringMap{
				"Operations.CostCenter": pulumi.String("42"),
			},
			Description: pulumi.Any(modelDescription),
			DisplayName: pulumi.Any(modelDisplayName),
			FreeformTags: pulumi.StringMap{
				"Department": pulumi.String("Finance"),
			},
			InputSchema:  pulumi.Any(modelInputSchema),
			OutputSchema: pulumi.Any(modelOutputSchema),
		})
		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 = new Oci.DataScience.Model("test_model", new()
    {
        CompartmentId = compartmentId,
        ProjectId = testProject.Id,
        CustomMetadataLists = new[]
        {
            new Oci.DataScience.Inputs.ModelCustomMetadataListArgs
            {
                Category = modelCustomMetadataListCategory,
                Description = modelCustomMetadataListDescription,
                Key = modelCustomMetadataListKey,
                Value = modelCustomMetadataListValue,
            },
        },
        DefinedMetadataLists = new[]
        {
            new Oci.DataScience.Inputs.ModelDefinedMetadataListArgs
            {
                Category = modelDefinedMetadataListCategory,
                Description = modelDefinedMetadataListDescription,
                Key = modelDefinedMetadataListKey,
                Value = modelDefinedMetadataListValue,
            },
        },
        DefinedTags = 
        {
            { "Operations.CostCenter", "42" },
        },
        Description = modelDescription,
        DisplayName = modelDisplayName,
        FreeformTags = 
        {
            { "Department", "Finance" },
        },
        InputSchema = modelInputSchema,
        OutputSchema = modelOutputSchema,
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.DataScience.Model;
import com.pulumi.oci.DataScience.ModelArgs;
import com.pulumi.oci.DataScience.inputs.ModelCustomMetadataListArgs;
import com.pulumi.oci.DataScience.inputs.ModelDefinedMetadataListArgs;
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) {
        var testModel = new Model("testModel", ModelArgs.builder()
            .compartmentId(compartmentId)
            .projectId(testProject.id())
            .customMetadataLists(ModelCustomMetadataListArgs.builder()
                .category(modelCustomMetadataListCategory)
                .description(modelCustomMetadataListDescription)
                .key(modelCustomMetadataListKey)
                .value(modelCustomMetadataListValue)
                .build())
            .definedMetadataLists(ModelDefinedMetadataListArgs.builder()
                .category(modelDefinedMetadataListCategory)
                .description(modelDefinedMetadataListDescription)
                .key(modelDefinedMetadataListKey)
                .value(modelDefinedMetadataListValue)
                .build())
            .definedTags(Map.of("Operations.CostCenter", "42"))
            .description(modelDescription)
            .displayName(modelDisplayName)
            .freeformTags(Map.of("Department", "Finance"))
            .inputSchema(modelInputSchema)
            .outputSchema(modelOutputSchema)
            .build());

    }
}

    resources:
  testModel:
    type: oci:DataScience:Model
    name: test_model
    properties:
      compartmentId: ${compartmentId}
      projectId: ${testProject.id}
      customMetadataLists:
        - category: ${modelCustomMetadataListCategory}
          description: ${modelCustomMetadataListDescription}
          key: ${modelCustomMetadataListKey}
          value: ${modelCustomMetadataListValue}
      definedMetadataLists:
        - category: ${modelDefinedMetadataListCategory}
          description: ${modelDefinedMetadataListDescription}
          key: ${modelDefinedMetadataListKey}
          value: ${modelDefinedMetadataListValue}
      definedTags:
        Operations.CostCenter: '42'
      description: ${modelDescription}
      displayName: ${modelDisplayName}
      freeformTags:
        Department: Finance
      inputSchema: ${modelInputSchema}
      outputSchema: ${modelOutputSchema}

    Create Model Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Model(name: string, args: ModelArgs, opts?: CustomResourceOptions);
    @overload
def Model(resource_name: str,
          args: ModelArgs,
          opts: Optional[ResourceOptions] = None)

@overload
def Model(resource_name: str,
          opts: Optional[ResourceOptions] = None,
          model_artifact: Optional[str] = None,
          artifact_content_length: Optional[str] = None,
          compartment_id: Optional[str] = None,
          project_id: Optional[str] = None,
          description: Optional[str] = None,
          defined_tags: Optional[Mapping[str, str]] = None,
          artifact_content_disposition: Optional[str] = None,
          display_name: Optional[str] = None,
          freeform_tags: Optional[Mapping[str, str]] = None,
          input_schema: Optional[str] = None,
          defined_metadata_lists: Optional[Sequence[_datascience.ModelDefinedMetadataListArgs]] = None,
          output_schema: Optional[str] = None,
          custom_metadata_lists: Optional[Sequence[_datascience.ModelCustomMetadataListArgs]] = None,
          state: Optional[str] = None)
    func NewModel(ctx *Context, name string, args ModelArgs, opts ...ResourceOption) (*Model, error)
    public Model(string name, ModelArgs args, CustomResourceOptions? opts = null)
    public Model(String name, ModelArgs args)
public Model(String name, ModelArgs args, CustomResourceOptions options)

    type: oci:DataScience:Model
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args ModelArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args ModelArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args ModelArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ModelArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ModelArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var examplemodelResourceResourceFromDataSciencemodel = new Oci.DataScience.Model("examplemodelResourceResourceFromDataSciencemodel", new()
{
    ModelArtifact = "string",
    ArtifactContentLength = "string",
    CompartmentId = "string",
    ProjectId = "string",
    Description = "string",
    DefinedTags = 
    {
        { "string", "string" },
    },
    ArtifactContentDisposition = "string",
    DisplayName = "string",
    FreeformTags = 
    {
        { "string", "string" },
    },
    InputSchema = "string",
    DefinedMetadataLists = new[]
    {
        new Oci.DataScience.Inputs.ModelDefinedMetadataListArgs
        {
            Category = "string",
            Description = "string",
            Key = "string",
            Value = "string",
        },
    },
    OutputSchema = "string",
    CustomMetadataLists = new[]
    {
        new Oci.DataScience.Inputs.ModelCustomMetadataListArgs
        {
            Category = "string",
            Description = "string",
            Key = "string",
            Value = "string",
        },
    },
    State = "string",
});

    example, err := DataScience.NewModel(ctx, "examplemodelResourceResourceFromDataSciencemodel", &DataScience.ModelArgs{
	ModelArtifact:         pulumi.String("string"),
	ArtifactContentLength: pulumi.String("string"),
	CompartmentId:         pulumi.String("string"),
	ProjectId:             pulumi.String("string"),
	Description:           pulumi.String("string"),
	DefinedTags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	ArtifactContentDisposition: pulumi.String("string"),
	DisplayName:                pulumi.String("string"),
	FreeformTags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	InputSchema: pulumi.String("string"),
	DefinedMetadataLists: datascience.ModelDefinedMetadataListArray{
		&datascience.ModelDefinedMetadataListArgs{
			Category:    pulumi.String("string"),
			Description: pulumi.String("string"),
			Key:         pulumi.String("string"),
			Value:       pulumi.String("string"),
		},
	},
	OutputSchema: pulumi.String("string"),
	CustomMetadataLists: datascience.ModelCustomMetadataListArray{
		&datascience.ModelCustomMetadataListArgs{
			Category:    pulumi.String("string"),
			Description: pulumi.String("string"),
			Key:         pulumi.String("string"),
			Value:       pulumi.String("string"),
		},
	},
	State: pulumi.String("string"),
})

    var examplemodelResourceResourceFromDataSciencemodel = new Model("examplemodelResourceResourceFromDataSciencemodel", ModelArgs.builder()
    .modelArtifact("string")
    .artifactContentLength("string")
    .compartmentId("string")
    .projectId("string")
    .description("string")
    .definedTags(Map.of("string", "string"))
    .artifactContentDisposition("string")
    .displayName("string")
    .freeformTags(Map.of("string", "string"))
    .inputSchema("string")
    .definedMetadataLists(ModelDefinedMetadataListArgs.builder()
        .category("string")
        .description("string")
        .key("string")
        .value("string")
        .build())
    .outputSchema("string")
    .customMetadataLists(ModelCustomMetadataListArgs.builder()
        .category("string")
        .description("string")
        .key("string")
        .value("string")
        .build())
    .state("string")
    .build());

    examplemodel_resource_resource_from_data_sciencemodel = oci.data_science.Model("examplemodelResourceResourceFromDataSciencemodel",
    model_artifact="string",
    artifact_content_length="string",
    compartment_id="string",
    project_id="string",
    description="string",
    defined_tags={
        "string": "string",
    },
    artifact_content_disposition="string",
    display_name="string",
    freeform_tags={
        "string": "string",
    },
    input_schema="string",
    defined_metadata_lists=[oci.data_science.ModelDefinedMetadataListArgs(
        category="string",
        description="string",
        key="string",
        value="string",
    )],
    output_schema="string",
    custom_metadata_lists=[oci.data_science.ModelCustomMetadataListArgs(
        category="string",
        description="string",
        key="string",
        value="string",
    )],
    state="string")

    const examplemodelResourceResourceFromDataSciencemodel = new oci.datascience.Model("examplemodelResourceResourceFromDataSciencemodel", {
    modelArtifact: "string",
    artifactContentLength: "string",
    compartmentId: "string",
    projectId: "string",
    description: "string",
    definedTags: {
        string: "string",
    },
    artifactContentDisposition: "string",
    displayName: "string",
    freeformTags: {
        string: "string",
    },
    inputSchema: "string",
    definedMetadataLists: [{
        category: "string",
        description: "string",
        key: "string",
        value: "string",
    }],
    outputSchema: "string",
    customMetadataLists: [{
        category: "string",
        description: "string",
        key: "string",
        value: "string",
    }],
    state: "string",
});

    type: oci:DataScience:Model
properties:
    artifactContentDisposition: string
    artifactContentLength: string
    compartmentId: string
    customMetadataLists:
        - category: string
          description: string
          key: string
          value: string
    definedMetadataLists:
        - category: string
          description: string
          key: string
          value: string
    definedTags:
        string: string
    description: string
    displayName: string
    freeformTags:
        string: string
    inputSchema: string
    modelArtifact: string
    outputSchema: string
    projectId: string
    state: string

    Model Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The Model resource accepts the following input properties:

    ArtifactContentLength string

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    CompartmentId string
    (Updatable) The OCID of the compartment to create the model in.
    ModelArtifact string
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    ProjectId string
    The OCID of the project to associate with the model.
    ArtifactContentDisposition string
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    CustomMetadataLists List<ModelCustomMetadataList>
    (Updatable) An array of custom metadata details for the model.
    DefinedMetadataLists List<ModelDefinedMetadataList>
    (Updatable) An array of defined metadata details for the model.
    DefinedTags Dictionary<string, string>
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    Description string
    (Updatable) A short description of the model.
    DisplayName string
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    FreeformTags Dictionary<string, string>
    (Updatable) 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"}
    InputSchema string
    Input schema file content in String format
    OutputSchema string
    Output schema file content in String format
    State string
    The state of the model.
    ArtifactContentLength string

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    CompartmentId string
    (Updatable) The OCID of the compartment to create the model in.
    ModelArtifact string
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    ProjectId string
    The OCID of the project to associate with the model.
    ArtifactContentDisposition string
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    CustomMetadataLists []ModelCustomMetadataListArgs
    (Updatable) An array of custom metadata details for the model.
    DefinedMetadataLists []ModelDefinedMetadataListArgs
    (Updatable) An array of defined metadata details for the model.
    DefinedTags map[string]string
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    Description string
    (Updatable) A short description of the model.
    DisplayName string
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    FreeformTags map[string]string
    (Updatable) 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"}
    InputSchema string
    Input schema file content in String format
    OutputSchema string
    Output schema file content in String format
    State string
    The state of the model.
    artifactContentLength String

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    compartmentId String
    (Updatable) The OCID of the compartment to create the model in.
    modelArtifact String
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    projectId String
    The OCID of the project to associate with the model.
    artifactContentDisposition String
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    customMetadataLists List<ModelCustomMetadataList>
    (Updatable) An array of custom metadata details for the model.
    definedMetadataLists List<ModelDefinedMetadataList>
    (Updatable) An array of defined metadata details for the model.
    definedTags Map<String,String>
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description String
    (Updatable) A short description of the model.
    displayName String
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    freeformTags Map<String,String>
    (Updatable) 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"}
    inputSchema String
    Input schema file content in String format
    outputSchema String
    Output schema file content in String format
    state String
    The state of the model.
    artifactContentLength string

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    compartmentId string
    (Updatable) The OCID of the compartment to create the model in.
    modelArtifact string
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    projectId string
    The OCID of the project to associate with the model.
    artifactContentDisposition string
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    customMetadataLists ModelCustomMetadataList[]
    (Updatable) An array of custom metadata details for the model.
    definedMetadataLists ModelDefinedMetadataList[]
    (Updatable) An array of defined metadata details for the model.
    definedTags {[key: string]: string}
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description string
    (Updatable) A short description of the model.
    displayName string
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    freeformTags {[key: string]: string}
    (Updatable) 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"}
    inputSchema string
    Input schema file content in String format
    outputSchema string
    Output schema file content in String format
    state string
    The state of the model.
    artifact_content_length str

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    compartment_id str
    (Updatable) The OCID of the compartment to create the model in.
    model_artifact str
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    project_id str
    The OCID of the project to associate with the model.
    artifact_content_disposition str
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    custom_metadata_lists Sequence[datascience.ModelCustomMetadataListArgs]
    (Updatable) An array of custom metadata details for the model.
    defined_metadata_lists Sequence[datascience.ModelDefinedMetadataListArgs]
    (Updatable) An array of defined metadata details for the model.
    defined_tags Mapping[str, str]
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description str
    (Updatable) A short description of the model.
    display_name str
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    freeform_tags Mapping[str, str]
    (Updatable) 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"}
    input_schema str
    Input schema file content in String format
    output_schema str
    Output schema file content in String format
    state str
    The state of the model.
    artifactContentLength String

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    compartmentId String
    (Updatable) The OCID of the compartment to create the model in.
    modelArtifact String
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    projectId String
    The OCID of the project to associate with the model.
    artifactContentDisposition String
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    customMetadataLists List<Property Map>
    (Updatable) An array of custom metadata details for the model.
    definedMetadataLists List<Property Map>
    (Updatable) An array of defined metadata details for the model.
    definedTags Map<String>
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description String
    (Updatable) A short description of the model.
    displayName String
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    freeformTags Map<String>
    (Updatable) 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"}
    inputSchema String
    Input schema file content in String format
    outputSchema String
    Output schema file content in String format
    state String
    The state of the model.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Model resource produces the following output properties:

    ArtifactContentMd5 string
    ArtifactLastModified string
    CreatedBy string
    The OCID of the user who created the model.
    EmptyModel bool
    Id string
    The provider-assigned unique ID for this managed resource.
    TimeCreated string
    The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
    ArtifactContentMd5 string
    ArtifactLastModified string
    CreatedBy string
    The OCID of the user who created the model.
    EmptyModel bool
    Id string
    The provider-assigned unique ID for this managed resource.
    TimeCreated string
    The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
    artifactContentMd5 String
    artifactLastModified String
    createdBy String
    The OCID of the user who created the model.
    emptyModel Boolean
    id String
    The provider-assigned unique ID for this managed resource.
    timeCreated String
    The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
    artifactContentMd5 string
    artifactLastModified string
    createdBy string
    The OCID of the user who created the model.
    emptyModel boolean
    id string
    The provider-assigned unique ID for this managed resource.
    timeCreated 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_md5 str
    artifact_last_modified str
    created_by str
    The OCID of the user who created the model.
    empty_model bool
    id str
    The provider-assigned unique ID for this managed resource.
    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
    artifactContentMd5 String
    artifactLastModified String
    createdBy String
    The OCID of the user who created the model.
    emptyModel Boolean
    id String
    The provider-assigned unique ID for this managed resource.
    timeCreated String
    The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

    Look up Existing Model Resource

    Get an existing Model resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: ModelState, opts?: CustomResourceOptions): Model
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        artifact_content_disposition: Optional[str] = None,
        artifact_content_length: Optional[str] = None,
        artifact_content_md5: Optional[str] = None,
        artifact_last_modified: Optional[str] = None,
        compartment_id: Optional[str] = None,
        created_by: Optional[str] = None,
        custom_metadata_lists: Optional[Sequence[_datascience.ModelCustomMetadataListArgs]] = None,
        defined_metadata_lists: Optional[Sequence[_datascience.ModelDefinedMetadataListArgs]] = None,
        defined_tags: Optional[Mapping[str, str]] = None,
        description: Optional[str] = None,
        display_name: Optional[str] = None,
        empty_model: Optional[bool] = None,
        freeform_tags: Optional[Mapping[str, str]] = None,
        input_schema: Optional[str] = None,
        model_artifact: Optional[str] = None,
        output_schema: Optional[str] = None,
        project_id: Optional[str] = None,
        state: Optional[str] = None,
        time_created: Optional[str] = None) -> Model
    func GetModel(ctx *Context, name string, id IDInput, state *ModelState, opts ...ResourceOption) (*Model, error)
    public static Model Get(string name, Input<string> id, ModelState? state, CustomResourceOptions? opts = null)
    public static Model get(String name, Output<String> id, ModelState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    ArtifactContentDisposition string
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    ArtifactContentLength string

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    ArtifactContentMd5 string
    ArtifactLastModified string
    CompartmentId string
    (Updatable) The OCID of the compartment to create the model in.
    CreatedBy string
    The OCID of the user who created the model.
    CustomMetadataLists List<ModelCustomMetadataList>
    (Updatable) An array of custom metadata details for the model.
    DefinedMetadataLists List<ModelDefinedMetadataList>
    (Updatable) An array of defined metadata details for the model.
    DefinedTags Dictionary<string, string>
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    Description string
    (Updatable) A short description of the model.
    DisplayName string
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    EmptyModel bool
    FreeformTags Dictionary<string, string>
    (Updatable) 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"}
    InputSchema string
    Input schema file content in String format
    ModelArtifact string
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    OutputSchema string
    Output schema file content in String format
    ProjectId string
    The OCID of the project to associate with 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
    ArtifactContentDisposition string
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    ArtifactContentLength string

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    ArtifactContentMd5 string
    ArtifactLastModified string
    CompartmentId string
    (Updatable) The OCID of the compartment to create the model in.
    CreatedBy string
    The OCID of the user who created the model.
    CustomMetadataLists []ModelCustomMetadataListArgs
    (Updatable) An array of custom metadata details for the model.
    DefinedMetadataLists []ModelDefinedMetadataListArgs
    (Updatable) An array of defined metadata details for the model.
    DefinedTags map[string]string
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    Description string
    (Updatable) A short description of the model.
    DisplayName string
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    EmptyModel bool
    FreeformTags map[string]string
    (Updatable) 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"}
    InputSchema string
    Input schema file content in String format
    ModelArtifact string
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    OutputSchema string
    Output schema file content in String format
    ProjectId string
    The OCID of the project to associate with 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
    artifactContentDisposition String
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    artifactContentLength String

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    artifactContentMd5 String
    artifactLastModified String
    compartmentId String
    (Updatable) The OCID of the compartment to create the model in.
    createdBy String
    The OCID of the user who created the model.
    customMetadataLists List<ModelCustomMetadataList>
    (Updatable) An array of custom metadata details for the model.
    definedMetadataLists List<ModelDefinedMetadataList>
    (Updatable) An array of defined metadata details for the model.
    definedTags Map<String,String>
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description String
    (Updatable) A short description of the model.
    displayName String
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    emptyModel Boolean
    freeformTags Map<String,String>
    (Updatable) 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"}
    inputSchema String
    Input schema file content in String format
    modelArtifact String
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    outputSchema String
    Output schema file content in String format
    projectId String
    The OCID of the project to associate with 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
    artifactContentDisposition string
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    artifactContentLength string

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    artifactContentMd5 string
    artifactLastModified string
    compartmentId string
    (Updatable) The OCID of the compartment to create the model in.
    createdBy string
    The OCID of the user who created the model.
    customMetadataLists ModelCustomMetadataList[]
    (Updatable) An array of custom metadata details for the model.
    definedMetadataLists ModelDefinedMetadataList[]
    (Updatable) An array of defined metadata details for the model.
    definedTags {[key: string]: string}
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description string
    (Updatable) A short description of the model.
    displayName string
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    emptyModel boolean
    freeformTags {[key: string]: string}
    (Updatable) 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"}
    inputSchema string
    Input schema file content in String format
    modelArtifact string
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    outputSchema string
    Output schema file content in String format
    projectId string
    The OCID of the project to associate with 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
    artifact_content_disposition str
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    artifact_content_length str

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    artifact_content_md5 str
    artifact_last_modified str
    compartment_id str
    (Updatable) The OCID of the compartment to create the model in.
    created_by str
    The OCID of the user who created the model.
    custom_metadata_lists Sequence[datascience.ModelCustomMetadataListArgs]
    (Updatable) An array of custom metadata details for the model.
    defined_metadata_lists Sequence[datascience.ModelDefinedMetadataListArgs]
    (Updatable) An array of defined metadata details for the model.
    defined_tags Mapping[str, str]
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description str
    (Updatable) A short description of the model.
    display_name str
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    empty_model bool
    freeform_tags Mapping[str, str]
    (Updatable) 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"}
    input_schema str
    Input schema file content in String format
    model_artifact str
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    output_schema str
    Output schema file content in String format
    project_id str
    The OCID of the project to associate with the model.
    state str
    The state of the model.
    time_created str
    The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z
    artifactContentDisposition String
    This allows to specify a filename during upload. This file name is used to dispose of the file contents while downloading the file. Example: attachment; filename=model-artifact.zip
    artifactContentLength String

    The content length of the model_artifact.

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    artifactContentMd5 String
    artifactLastModified String
    compartmentId String
    (Updatable) The OCID of the compartment to create the model in.
    createdBy String
    The OCID of the user who created the model.
    customMetadataLists List<Property Map>
    (Updatable) An array of custom metadata details for the model.
    definedMetadataLists List<Property Map>
    (Updatable) An array of defined metadata details for the model.
    definedTags Map<String>
    (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}
    description String
    (Updatable) A short description of the model.
    displayName String
    (Updatable) A user-friendly display name for the resource. It does not have to be unique and can be modified. Avoid entering confidential information. Example: My Model
    emptyModel Boolean
    freeformTags Map<String>
    (Updatable) 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"}
    inputSchema String
    Input schema file content in String format
    modelArtifact String
    The model artifact to upload. It is a ZIP archive of the files necessary to run the model. This can be done in a separate step or using cli/sdk. The Model will remain in "Creating" state until its artifact is uploaded.
    outputSchema String
    Output schema file content in String format
    projectId String
    The OCID of the project to associate with 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

    Supporting Types

    ModelCustomMetadataList, ModelCustomMetadataListArgs

    Category string
    (Updatable) 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
    (Updatable) Description of model metadata
    Key string
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    Category string
    (Updatable) 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
    (Updatable) Description of model metadata
    Key string
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category String
    (Updatable) 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
    (Updatable) Description of model metadata
    key String
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category string
    (Updatable) 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
    (Updatable) Description of model metadata
    key string
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category str
    (Updatable) 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
    (Updatable) Description of model metadata
    key str
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category String
    (Updatable) 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
    (Updatable) Description of model metadata
    key String
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    ModelDefinedMetadataList, ModelDefinedMetadataListArgs

    Category string
    (Updatable) 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
    (Updatable) Description of model metadata
    Key string
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    Category string
    (Updatable) 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
    (Updatable) Description of model metadata
    Key string
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category String
    (Updatable) 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
    (Updatable) Description of model metadata
    key String
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category string
    (Updatable) 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
    (Updatable) Description of model metadata
    key string
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category str
    (Updatable) 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
    (Updatable) Description of model metadata
    key str
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    category String
    (Updatable) 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
    (Updatable) Description of model metadata
    key String
    (Updatable) 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

    (Updatable) 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

    Allowed values for libraryName: scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy, prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan, bert, gensim, flair, word2vec, ensemble, other

    Import

    Models can be imported using the id, e.g.

    $ pulumi import oci:DataScience/model:Model test_model "id"

    To learn more about importing existing cloud resources, see Importing resources.

    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 v2.11.0 published on Thursday, Sep 19, 2024 by Pulumi
    pulumi/pulumi-oci