pulumi-gcp-kotlin/com.pulumi.gcp.ml.kotlin/EngineModelArgs

EngineModelArgs

data class EngineModelArgs(val defaultVersion: Output<EngineModelDefaultVersionArgs>? = null, val description: Output<String>? = null, val labels: Output<Map<String, String>>? = null, val name: Output<String>? = null, val onlinePredictionConsoleLogging: Output<Boolean>? = null, val onlinePredictionLogging: Output<Boolean>? = null, val project: Output<String>? = null, val regions: Output<String>? = null) : ConvertibleToJava<EngineModelArgs>

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
How-to Guides

Official Documentation

Example Usage

Ml Model Basic

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()
            .description("My model")
            .regions("us-central1")
            .build());
    }
}

Ml Model Full

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()
            .description("My model")
            .labels(Map.of("my_model", "foo"))
            .onlinePredictionConsoleLogging(true)
            .onlinePredictionLogging(true)
            .regions("us-central1")
            .build());
    }
}

Import

Model can be imported using any of these accepted formats

$ pulumi import gcp:ml/engineModel:EngineModel default projects/{{project}}/models/{{name}}

$ pulumi import gcp:ml/engineModel:EngineModel default {{project}}/{{name}}

$ pulumi import gcp:ml/engineModel:EngineModel default {{name}}

Constructors

EngineModelArgs

fun EngineModelArgs(defaultVersion: Output<EngineModelDefaultVersionArgs>? = null, description: Output<String>? = null, labels: Output<Map<String, String>>? = null, name: Output<String>? = null, onlinePredictionConsoleLogging: Output<Boolean>? = null, onlinePredictionLogging: Output<Boolean>? = null, project: Output<String>? = null, regions: Output<String>? = null)

Functions

toJava

open override fun toJava(): EngineModelArgs

Properties

defaultVersion

val defaultVersion: Output<EngineModelDefaultVersionArgs>? = null

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.

description