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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.gcp.ml.kotlin

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.ml.EngineModelArgs.builder
import com.pulumi.gcp.ml.kotlin.inputs.EngineModelDefaultVersionArgs
import com.pulumi.gcp.ml.kotlin.inputs.EngineModelDefaultVersionArgsBuilder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Boolean
import kotlin.Pair
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
import kotlin.jvm.JvmName

/**
 * Represents a machine learning solution.
 * A model can have multiple versions, each of which is a deployed, trained model
 * ready to receive prediction requests. The model itself is just a container.
 * To get more information about Model, see:
 * * [API documentation](https://cloud.google.com/ai-platform/prediction/docs/reference/rest/v1/projects.models)
 * * How-to Guides
 *     * [Official Documentation](https://cloud.google.com/ai-platform/prediction/docs/deploying-models)
 * ## Example Usage
 * ### Ml Model Basic
 * 
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 * const _default = new gcp.ml.EngineModel("default", {
 *     name: "default",
 *     description: "My model",
 *     regions: "us-central1",
 * });
 * ```
 * ```python
 * import pulumi
 * import pulumi_gcp as gcp
 * default = gcp.ml.EngineModel("default",
 *     name="default",
 *     description="My model",
 *     regions="us-central1")
 * ```
 * ```csharp
 * using System.Collections.Generic;
 * using System.Linq;
 * using Pulumi;
 * using Gcp = Pulumi.Gcp;
 * return await Deployment.RunAsync(() =>
 * {
 *     var @default = new Gcp.ML.EngineModel("default", new()
 *     {
 *         Name = "default",
 *         Description = "My model",
 *         Regions = "us-central1",
 *     });
 * });
 * ```
 * ```go
 * package main
 * import (
 * 	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/ml"
 * 	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
 * )
 * func main() {
 * 	pulumi.Run(func(ctx *pulumi.Context) error {
 * 		_, err := ml.NewEngineModel(ctx, "default", &ml.EngineModelArgs{
 * 			Name:        pulumi.String("default"),
 * 			Description: pulumi.String("My model"),
 * 			Regions:     pulumi.String("us-central1"),
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		return nil
 * 	})
 * }
 * ```
 * ```java
 * package generated_program;
 * import com.pulumi.Context;
 * import com.pulumi.Pulumi;
 * import com.pulumi.core.Output;
 * import com.pulumi.gcp.ml.EngineModel;
 * import com.pulumi.gcp.ml.EngineModelArgs;
 * 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 default_ = new EngineModel("default", EngineModelArgs.builder()
 *             .name("default")
 *             .description("My model")
 *             .regions("us-central1")
 *             .build());
 *     }
 * }
 * ```
 * ```yaml
 * resources:
 *   default:
 *     type: gcp:ml:EngineModel
 *     properties:
 *       name: default
 *       description: My model
 *       regions: us-central1
 * ```
 * 
 * ### Ml Model Full
 * 
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 * const _default = new gcp.ml.EngineModel("default", {
 *     name: "default",
 *     description: "My model",
 *     regions: "us-central1",
 *     labels: {
 *         my_model: "foo",
 *     },
 *     onlinePredictionLogging: true,
 *     onlinePredictionConsoleLogging: true,
 * });
 * ```
 * ```python
 * import pulumi
 * import pulumi_gcp as gcp
 * default = gcp.ml.EngineModel("default",
 *     name="default",
 *     description="My model",
 *     regions="us-central1",
 *     labels={
 *         "my_model": "foo",
 *     },
 *     online_prediction_logging=True,
 *     online_prediction_console_logging=True)
 * ```
 * ```csharp
 * using System.Collections.Generic;
 * using System.Linq;
 * using Pulumi;
 * using Gcp = Pulumi.Gcp;
 * return await Deployment.RunAsync(() =>
 * {
 *     var @default = new Gcp.ML.EngineModel("default", new()
 *     {
 *         Name = "default",
 *         Description = "My model",
 *         Regions = "us-central1",
 *         Labels =
 *         {
 *             { "my_model", "foo" },
 *         },
 *         OnlinePredictionLogging = true,
 *         OnlinePredictionConsoleLogging = true,
 *     });
 * });
 * ```
 * ```go
 * package main
 * import (
 * 	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/ml"
 * 	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
 * )
 * func main() {
 * 	pulumi.Run(func(ctx *pulumi.Context) error {
 * 		_, err := ml.NewEngineModel(ctx, "default", &ml.EngineModelArgs{
 * 			Name:        pulumi.String("default"),
 * 			Description: pulumi.String("My model"),
 * 			Regions:     pulumi.String("us-central1"),
 * 			Labels: pulumi.StringMap{
 * 				"my_model": pulumi.String("foo"),
 * 			},
 * 			OnlinePredictionLogging:        pulumi.Bool(true),
 * 			OnlinePredictionConsoleLogging: pulumi.Bool(true),
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		return nil
 * 	})
 * }
 * ```
 * ```java
 * package generated_program;
 * import com.pulumi.Context;
 * import com.pulumi.Pulumi;
 * import com.pulumi.core.Output;
 * import com.pulumi.gcp.ml.EngineModel;
 * import com.pulumi.gcp.ml.EngineModelArgs;
 * 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 default_ = new EngineModel("default", EngineModelArgs.builder()
 *             .name("default")
 *             .description("My model")
 *             .regions("us-central1")
 *             .labels(Map.of("my_model", "foo"))
 *             .onlinePredictionLogging(true)
 *             .onlinePredictionConsoleLogging(true)
 *             .build());
 *     }
 * }
 * ```
 * ```yaml
 * resources:
 *   default:
 *     type: gcp:ml:EngineModel
 *     properties:
 *       name: default
 *       description: My model
 *       regions: us-central1
 *       labels:
 *         my_model: foo
 *       onlinePredictionLogging: true
 *       onlinePredictionConsoleLogging: true
 * ```
 * 
 * ## Import
 * Model can be imported using any of these accepted formats:
 * * `projects/{{project}}/models/{{name}}`
 * * `{{project}}/{{name}}`
 * * `{{name}}`
 * When using the `pulumi import` command, Model can be imported using one of the formats above. For example:
 * ```sh
 * $ pulumi import gcp:ml/engineModel:EngineModel default projects/{{project}}/models/{{name}}
 * ```
 * ```sh
 * $ pulumi import gcp:ml/engineModel:EngineModel default {{project}}/{{name}}
 * ```
 * ```sh
 * $ pulumi import gcp:ml/engineModel:EngineModel default {{name}}
 * ```
 * @property defaultVersion The default version of the model. This version will be used to handle
 * prediction requests that do not specify a version.
 * Structure is documented below.
 * @property description The description specified for the model when it was created.
 * @property labels One or more labels that you can add, to organize your models.
 * **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
 * Please refer to the field `effective_labels` for all of the labels present on the resource.
 * @property name The name specified for the model.
 * - - -
 * @property onlinePredictionConsoleLogging If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
 * @property onlinePredictionLogging If true, online prediction access logs are sent to StackDriver Logging.
 * @property project The ID of the project in which the resource belongs.
 * If it is not provided, the provider project is used.
 * @property regions The list of regions where the model is going to be deployed.
 * Currently only one region per model is supported
 */
public data class EngineModelArgs(
    public val defaultVersion: Output? = null,
    public val description: Output? = null,
    public val labels: Output>? = null,
    public val name: Output? = null,
    public val onlinePredictionConsoleLogging: Output? = null,
    public val onlinePredictionLogging: Output? = null,
    public val project: Output? = null,
    public val regions: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.ml.EngineModelArgs =
        com.pulumi.gcp.ml.EngineModelArgs.builder()
            .defaultVersion(defaultVersion?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
            .description(description?.applyValue({ args0 -> args0 }))
            .labels(labels?.applyValue({ args0 -> args0.map({ args0 -> args0.key.to(args0.value) }).toMap() }))
            .name(name?.applyValue({ args0 -> args0 }))
            .onlinePredictionConsoleLogging(onlinePredictionConsoleLogging?.applyValue({ args0 -> args0 }))
            .onlinePredictionLogging(onlinePredictionLogging?.applyValue({ args0 -> args0 }))
            .project(project?.applyValue({ args0 -> args0 }))
            .regions(regions?.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [EngineModelArgs].
 */
@PulumiTagMarker
public class EngineModelArgsBuilder internal constructor() {
    private var defaultVersion: Output? = null

    private var description: Output? = null

    private var labels: Output>? = null

    private var name: Output? = null

    private var onlinePredictionConsoleLogging: Output? = null

    private var onlinePredictionLogging: Output? = null

    private var project: Output? = null

    private var regions: Output? = null

    /**
     * @param value The default version of the model. This version will be used to handle
     * prediction requests that do not specify a version.
     * Structure is documented below.
     */
    @JvmName("ipvfwxbsbrqujbir")
    public suspend fun defaultVersion(`value`: Output) {
        this.defaultVersion = value
    }

    /**
     * @param value The description specified for the model when it was created.
     */
    @JvmName("vqjmnlsfqtnvasnl")
    public suspend fun description(`value`: Output) {
        this.description = value
    }

    /**
     * @param value One or more labels that you can add, to organize your models.
     * **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
     * Please refer to the field `effective_labels` for all of the labels present on the resource.
     */
    @JvmName("tbjweldmfcxckpyu")
    public suspend fun labels(`value`: Output>) {
        this.labels = value
    }

    /**
     * @param value The name specified for the model.
     * - - -
     */
    @JvmName("lrbopeinvplmxjqe")
    public suspend fun name(`value`: Output) {
        this.name = value
    }

    /**
     * @param value If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
     */
    @JvmName("fovjhbdqmmfyhwvx")
    public suspend fun onlinePredictionConsoleLogging(`value`: Output) {
        this.onlinePredictionConsoleLogging = value
    }

    /**
     * @param value If true, online prediction access logs are sent to StackDriver Logging.
     */
    @JvmName("tjvlgwdbgmaalkgt")
    public suspend fun onlinePredictionLogging(`value`: Output) {
        this.onlinePredictionLogging = value
    }

    /**
     * @param value The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    @JvmName("fofwygjvsoqgtvid")
    public suspend fun project(`value`: Output) {
        this.project = value
    }

    /**
     * @param value The list of regions where the model is going to be deployed.
     * Currently only one region per model is supported
     */
    @JvmName("utrydehhajokidpm")
    public suspend fun regions(`value`: Output) {
        this.regions = value
    }

    /**
     * @param value The default version of the model. This version will be used to handle
     * prediction requests that do not specify a version.
     * Structure is documented below.
     */
    @JvmName("ewxdunqypfuylpkd")
    public suspend fun defaultVersion(`value`: EngineModelDefaultVersionArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.defaultVersion = mapped
    }

    /**
     * @param argument The default version of the model. This version will be used to handle
     * prediction requests that do not specify a version.
     * Structure is documented below.
     */
    @JvmName("wjrecclvjacbavbw")
    public suspend fun defaultVersion(argument: suspend EngineModelDefaultVersionArgsBuilder.() -> Unit) {
        val toBeMapped = EngineModelDefaultVersionArgsBuilder().applySuspend { argument() }.build()
        val mapped = of(toBeMapped)
        this.defaultVersion = mapped
    }

    /**
     * @param value The description specified for the model when it was created.
     */
    @JvmName("kefhlswyseasyrtm")
    public suspend fun description(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.description = mapped
    }

    /**
     * @param value One or more labels that you can add, to organize your models.
     * **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
     * Please refer to the field `effective_labels` for all of the labels present on the resource.
     */
    @JvmName("jpofjmhgluvaoxad")
    public suspend fun labels(`value`: Map?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.labels = mapped
    }

    /**
     * @param values One or more labels that you can add, to organize your models.
     * **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
     * Please refer to the field `effective_labels` for all of the labels present on the resource.
     */
    @JvmName("fwbrifaoxclglrpo")
    public fun labels(vararg values: Pair) {
        val toBeMapped = values.toMap()
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.labels = mapped
    }

    /**
     * @param value The name specified for the model.
     * - - -
     */
    @JvmName("nrlsjcrkcxkdsiba")
    public suspend fun name(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.name = mapped
    }

    /**
     * @param value If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
     */
    @JvmName("bcwlgibbboiqvwgr")
    public suspend fun onlinePredictionConsoleLogging(`value`: Boolean?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.onlinePredictionConsoleLogging = mapped
    }

    /**
     * @param value If true, online prediction access logs are sent to StackDriver Logging.
     */
    @JvmName("eveyucjmnvojgwcb")
    public suspend fun onlinePredictionLogging(`value`: Boolean?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.onlinePredictionLogging = mapped
    }

    /**
     * @param value The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    @JvmName("rhbxbruqdkdypomk")
    public suspend fun project(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.project = mapped
    }

    /**
     * @param value The list of regions where the model is going to be deployed.
     * Currently only one region per model is supported
     */
    @JvmName("hvtqpxmveestlucb")
    public suspend fun regions(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.regions = mapped
    }

    internal fun build(): EngineModelArgs = EngineModelArgs(
        defaultVersion = defaultVersion,
        description = description,
        labels = labels,
        name = name,
        onlinePredictionConsoleLogging = onlinePredictionConsoleLogging,
        onlinePredictionLogging = onlinePredictionLogging,
        project = project,
        regions = regions,
    )
}




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