elasticstack.getElasticsearchMlTrainedModel

elasticstack 0.16.2, Jul 4 26

Viewing docs for elasticstack 0.16.2
published on Saturday, Jul 4, 2026 by elastic

Example Usage

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

const example = elasticstack.getElasticsearchMlTrainedModel({
    modelId: "lang_ident_model_current",
});

import pulumi
import pulumi_elasticstack as elasticstack

example = elasticstack.get_elasticsearch_ml_trained_model(model_id="lang_ident_model_current")

package main

import (
	"github.com/pulumi/pulumi-terraform-provider/sdks/go/elasticstack/elasticstack"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := elasticstack.GetElasticsearchMlTrainedModel(ctx, &elasticstack.GetElasticsearchMlTrainedModelArgs{
			ModelId: "lang_ident_model_current",
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Elasticstack = Pulumi.Elasticstack;

return await Deployment.RunAsync(() => 
{
    var example = Elasticstack.GetElasticsearchMlTrainedModel.Invoke(new()
    {
        ModelId = "lang_ident_model_current",
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.elasticstack.ElasticstackFunctions;
import com.pulumi.elasticstack.inputs.GetElasticsearchMlTrainedModelArgs;
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 example = ElasticstackFunctions.getElasticsearchMlTrainedModel(GetElasticsearchMlTrainedModelArgs.builder()
            .modelId("lang_ident_model_current")
            .build());

    }
}

variables:
  example:
    fn::invoke:
      function: elasticstack:getElasticsearchMlTrainedModel
      arguments:
        modelId: lang_ident_model_current

Example coming soon!

Using getElasticsearchMlTrainedModel

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 getElasticsearchMlTrainedModel(args: GetElasticsearchMlTrainedModelArgs, opts?: InvokeOptions): Promise<GetElasticsearchMlTrainedModelResult>
function getElasticsearchMlTrainedModelOutput(args: GetElasticsearchMlTrainedModelOutputArgs, opts?: InvokeOptions): Output<GetElasticsearchMlTrainedModelResult>

def get_elasticsearch_ml_trained_model(elasticsearch_connections: Optional[Sequence[GetElasticsearchMlTrainedModelElasticsearchConnection]] = None,
                                       model_id: Optional[str] = None,
                                       opts: Optional[InvokeOptions] = None) -> GetElasticsearchMlTrainedModelResult
def get_elasticsearch_ml_trained_model_output(elasticsearch_connections: pulumi.Input[Optional[Sequence[pulumi.Input[GetElasticsearchMlTrainedModelElasticsearchConnectionArgs]]]] = None,
                                       model_id: pulumi.Input[Optional[str]] = None,
                                       opts: Optional[InvokeOptions] = None) -> Output[GetElasticsearchMlTrainedModelResult]

func GetElasticsearchMlTrainedModel(ctx *Context, args *GetElasticsearchMlTrainedModelArgs, opts ...InvokeOption) (*GetElasticsearchMlTrainedModelResult, error)
func GetElasticsearchMlTrainedModelOutput(ctx *Context, args *GetElasticsearchMlTrainedModelOutputArgs, opts ...InvokeOption) GetElasticsearchMlTrainedModelResultOutput

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

public static class GetElasticsearchMlTrainedModel 
{
    public static Task<GetElasticsearchMlTrainedModelResult> InvokeAsync(GetElasticsearchMlTrainedModelArgs args, InvokeOptions? opts = null)
    public static Output<GetElasticsearchMlTrainedModelResult> Invoke(GetElasticsearchMlTrainedModelInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetElasticsearchMlTrainedModelResult> getElasticsearchMlTrainedModel(GetElasticsearchMlTrainedModelArgs args, InvokeOptions options)
public static Output<GetElasticsearchMlTrainedModelResult> getElasticsearchMlTrainedModel(GetElasticsearchMlTrainedModelArgs args, InvokeOptions options)

fn::invoke:
  function: elasticstack:index/getElasticsearchMlTrainedModel:getElasticsearchMlTrainedModel
  arguments:
    # arguments dictionary

data "elasticstack_getelasticsearchmltrainedmodel" "name" {
    # arguments
}

The following arguments are supported:

ModelId string: The identifier for the trained model.
ElasticsearchConnections List<GetElasticsearchMlTrainedModelElasticsearchConnection>: Elasticsearch connection configuration block.

ModelId string: The identifier for the trained model.
ElasticsearchConnections []GetElasticsearchMlTrainedModelElasticsearchConnection: Elasticsearch connection configuration block.

model_id string: The identifier for the trained model.
elasticsearch_connections list(object): Elasticsearch connection configuration block.

modelId String: The identifier for the trained model.
elasticsearchConnections List<GetElasticsearchMlTrainedModelElasticsearchConnection>: Elasticsearch connection configuration block.

modelId string: The identifier for the trained model.
elasticsearchConnections GetElasticsearchMlTrainedModelElasticsearchConnection[]: Elasticsearch connection configuration block.

model_id str: The identifier for the trained model.
elasticsearch_connections Sequence[GetElasticsearchMlTrainedModelElasticsearchConnection]: Elasticsearch connection configuration block.

modelId String: The identifier for the trained model.
elasticsearchConnections List<Property Map>: Elasticsearch connection configuration block.

getElasticsearchMlTrainedModel Result

The following output properties are available:

CreateTime string: The time when the trained model was created.
CreatedBy string: Information on the creator of the trained model.
DefaultFieldMap Dictionary<string, string>: Any field map described in the inference configuration takes precedence.
Description string: The free-text description of the trained model.
FullyDefined bool: True if the full model definition is present.
Id string: Internal identifier of the resource
InferenceConfigJson string: JSON string of the default inference configuration.
InputJson string: JSON string of the model input field names.
LicenseLevel string: The license level of the trained model.
MetadataJson string: JSON string of the model metadata.
ModelId string: The identifier for the trained model.
ModelSizeBytes double: The estimated memory usage in bytes to keep the trained model in memory.
ModelType string: The model type.
PlatformArchitecture string: The platform identifier (e.g. linux-x86_64).
Tags List<string>: A set of tags for the trained model.
Version string: The Elasticsearch version number in which the trained model was created.
ElasticsearchConnections List<GetElasticsearchMlTrainedModelElasticsearchConnection>: Elasticsearch connection configuration block.

CreateTime string: The time when the trained model was created.
CreatedBy string: Information on the creator of the trained model.
DefaultFieldMap map[string]string: Any field map described in the inference configuration takes precedence.
Description string: The free-text description of the trained model.
FullyDefined bool: True if the full model definition is present.
Id string: Internal identifier of the resource
InferenceConfigJson string: JSON string of the default inference configuration.
InputJson string: JSON string of the model input field names.
LicenseLevel string: The license level of the trained model.
MetadataJson string: JSON string of the model metadata.
ModelId string: The identifier for the trained model.
ModelSizeBytes float64: The estimated memory usage in bytes to keep the trained model in memory.
ModelType string: The model type.
PlatformArchitecture string: The platform identifier (e.g. linux-x86_64).
Tags []string: A set of tags for the trained model.
Version string: The Elasticsearch version number in which the trained model was created.
ElasticsearchConnections []GetElasticsearchMlTrainedModelElasticsearchConnection: Elasticsearch connection configuration block.

create_time string: The time when the trained model was created.
created_by string: Information on the creator of the trained model.
default_field_map map(string): Any field map described in the inference configuration takes precedence.
description string: The free-text description of the trained model.
fully_defined bool: True if the full model definition is present.
id string: Internal identifier of the resource
inference_config_json string: JSON string of the default inference configuration.
input_json string: JSON string of the model input field names.
license_level string: The license level of the trained model.
metadata_json string: JSON string of the model metadata.
model_id string: The identifier for the trained model.
model_size_bytes number: The estimated memory usage in bytes to keep the trained model in memory.
model_type string: The model type.
platform_architecture string: The platform identifier (e.g. linux-x86_64).
tags list(string): A set of tags for the trained model.
version string: The Elasticsearch version number in which the trained model was created.
elasticsearch_connections list(object): Elasticsearch connection configuration block.

createTime String: The time when the trained model was created.
createdBy String: Information on the creator of the trained model.
defaultFieldMap Map<String,String>: Any field map described in the inference configuration takes precedence.
description String: The free-text description of the trained model.
fullyDefined Boolean: True if the full model definition is present.
id String: Internal identifier of the resource
inferenceConfigJson String: JSON string of the default inference configuration.
inputJson String: JSON string of the model input field names.
licenseLevel String: The license level of the trained model.
metadataJson String: JSON string of the model metadata.
modelId String: The identifier for the trained model.
modelSizeBytes Double: The estimated memory usage in bytes to keep the trained model in memory.
modelType String: The model type.
platformArchitecture String: The platform identifier (e.g. linux-x86_64).
tags List<String>: A set of tags for the trained model.
version String: The Elasticsearch version number in which the trained model was created.
elasticsearchConnections List<GetElasticsearchMlTrainedModelElasticsearchConnection>: Elasticsearch connection configuration block.

createTime string: The time when the trained model was created.
createdBy string: Information on the creator of the trained model.
defaultFieldMap {[key: string]: string}: Any field map described in the inference configuration takes precedence.
description string: The free-text description of the trained model.
fullyDefined boolean: True if the full model definition is present.
id string: Internal identifier of the resource
inferenceConfigJson string: JSON string of the default inference configuration.
inputJson string: JSON string of the model input field names.
licenseLevel string: The license level of the trained model.
metadataJson string: JSON string of the model metadata.
modelId string: The identifier for the trained model.
modelSizeBytes number: The estimated memory usage in bytes to keep the trained model in memory.
modelType string: The model type.
platformArchitecture string: The platform identifier (e.g. linux-x86_64).
tags string[]: A set of tags for the trained model.
version string: The Elasticsearch version number in which the trained model was created.
elasticsearchConnections GetElasticsearchMlTrainedModelElasticsearchConnection[]: Elasticsearch connection configuration block.

create_time str: The time when the trained model was created.
created_by str: Information on the creator of the trained model.
default_field_map Mapping[str, str]: Any field map described in the inference configuration takes precedence.
description str: The free-text description of the trained model.
fully_defined bool: True if the full model definition is present.
id str: Internal identifier of the resource
inference_config_json str: JSON string of the default inference configuration.
input_json str: JSON string of the model input field names.
license_level str: The license level of the trained model.
metadata_json str: JSON string of the model metadata.
model_id str: The identifier for the trained model.
model_size_bytes float: The estimated memory usage in bytes to keep the trained model in memory.
model_type str: The model type.
platform_architecture str: The platform identifier (e.g. linux-x86_64).
tags Sequence[str]: A set of tags for the trained model.
version str: The Elasticsearch version number in which the trained model was created.
elasticsearch_connections Sequence[GetElasticsearchMlTrainedModelElasticsearchConnection]: Elasticsearch connection configuration block.

createTime String: The time when the trained model was created.
createdBy String: Information on the creator of the trained model.
defaultFieldMap Map<String>: Any field map described in the inference configuration takes precedence.
description String: The free-text description of the trained model.
fullyDefined Boolean: True if the full model definition is present.
id String: Internal identifier of the resource
inferenceConfigJson String: JSON string of the default inference configuration.
inputJson String: JSON string of the model input field names.
licenseLevel String: The license level of the trained model.
metadataJson String: JSON string of the model metadata.
modelId String: The identifier for the trained model.
modelSizeBytes Number: The estimated memory usage in bytes to keep the trained model in memory.
modelType String: The model type.
platformArchitecture String: The platform identifier (e.g. linux-x86_64).
tags List<String>: A set of tags for the trained model.
version String: The Elasticsearch version number in which the trained model was created.
elasticsearchConnections List<Property Map>: Elasticsearch connection configuration block.

Supporting Types

GetElasticsearchMlTrainedModelElasticsearchConnection

ApiKey string: API Key to use for authentication to Elasticsearch
BearerToken string: Bearer Token to use for authentication to Elasticsearch
CaData string: PEM-encoded custom Certificate Authority certificate
CaFile string: Path to a custom Certificate Authority certificate
CaFingerprint string: SHA-256 hex fingerprint (64 hexadecimal characters, no colons or separators) of the server TLS certificate used to pin the connection instead of a full CA chain
CertData string: PEM encoded certificate for client auth
CertFile string: Path to a file containing the PEM encoded certificate for client auth
Endpoints List<string>
EsClientAuthentication string: ES Client Authentication field to be used with the JWT token
Headers Dictionary<string, string>: A list of headers to be sent with each request to Elasticsearch.
Insecure bool: Disable TLS certificate validation
KeyData string: PEM encoded private key for client auth
KeyFile string: Path to a file containing the PEM encoded private key for client auth
Password string: Password to use for API authentication to Elasticsearch.
Username string: Username to use for API authentication to Elasticsearch.

ApiKey string: API Key to use for authentication to Elasticsearch
BearerToken string: Bearer Token to use for authentication to Elasticsearch
CaData string: PEM-encoded custom Certificate Authority certificate
CaFile string: Path to a custom Certificate Authority certificate
CaFingerprint string: SHA-256 hex fingerprint (64 hexadecimal characters, no colons or separators) of the server TLS certificate used to pin the connection instead of a full CA chain
CertData string: PEM encoded certificate for client auth
CertFile string: Path to a file containing the PEM encoded certificate for client auth
Endpoints []string
EsClientAuthentication string: ES Client Authentication field to be used with the JWT token
Headers map[string]string: A list of headers to be sent with each request to Elasticsearch.
Insecure bool: Disable TLS certificate validation
KeyData string: PEM encoded private key for client auth
KeyFile string: Path to a file containing the PEM encoded private key for client auth
Password string: Password to use for API authentication to Elasticsearch.
Username string: Username to use for API authentication to Elasticsearch.

api_key string: API Key to use for authentication to Elasticsearch
bearer_token string: Bearer Token to use for authentication to Elasticsearch
ca_data string: PEM-encoded custom Certificate Authority certificate
ca_file string: Path to a custom Certificate Authority certificate
ca_fingerprint string: SHA-256 hex fingerprint (64 hexadecimal characters, no colons or separators) of the server TLS certificate used to pin the connection instead of a full CA chain
cert_data string: PEM encoded certificate for client auth
cert_file string: Path to a file containing the PEM encoded certificate for client auth
endpoints list(string)
es_client_authentication string: ES Client Authentication field to be used with the JWT token
headers map(string): A list of headers to be sent with each request to Elasticsearch.
insecure bool: Disable TLS certificate validation
key_data string: PEM encoded private key for client auth
key_file string: Path to a file containing the PEM encoded private key for client auth
password string: Password to use for API authentication to Elasticsearch.
username string: Username to use for API authentication to Elasticsearch.

apiKey String: API Key to use for authentication to Elasticsearch
bearerToken String: Bearer Token to use for authentication to Elasticsearch
caData String: PEM-encoded custom Certificate Authority certificate
caFile String: Path to a custom Certificate Authority certificate
caFingerprint String: SHA-256 hex fingerprint (64 hexadecimal characters, no colons or separators) of the server TLS certificate used to pin the connection instead of a full CA chain
certData String: PEM encoded certificate for client auth
certFile String: Path to a file containing the PEM encoded certificate for client auth
endpoints List<String>
esClientAuthentication String: ES Client Authentication field to be used with the JWT token
headers Map<String,String>: A list of headers to be sent with each request to Elasticsearch.
insecure Boolean: Disable TLS certificate validation
keyData String: PEM encoded private key for client auth
keyFile String: Path to a file containing the PEM encoded private key for client auth
password String: Password to use for API authentication to Elasticsearch.
username String: Username to use for API authentication to Elasticsearch.

apiKey string: API Key to use for authentication to Elasticsearch
bearerToken string: Bearer Token to use for authentication to Elasticsearch
caData string: PEM-encoded custom Certificate Authority certificate
caFile string: Path to a custom Certificate Authority certificate
caFingerprint string: SHA-256 hex fingerprint (64 hexadecimal characters, no colons or separators) of the server TLS certificate used to pin the connection instead of a full CA chain
certData string: PEM encoded certificate for client auth
certFile string: Path to a file containing the PEM encoded certificate for client auth
endpoints string[]
esClientAuthentication string: ES Client Authentication field to be used with the JWT token
headers {[key: string]: string}: A list of headers to be sent with each request to Elasticsearch.
insecure boolean: Disable TLS certificate validation
keyData string: PEM encoded private key for client auth
keyFile string: Path to a file containing the PEM encoded private key for client auth
password string: Password to use for API authentication to Elasticsearch.
username string: Username to use for API authentication to Elasticsearch.

api_key str: API Key to use for authentication to Elasticsearch
bearer_token str: Bearer Token to use for authentication to Elasticsearch
ca_data str: PEM-encoded custom Certificate Authority certificate
ca_file str: Path to a custom Certificate Authority certificate
ca_fingerprint str: SHA-256 hex fingerprint (64 hexadecimal characters, no colons or separators) of the server TLS certificate used to pin the connection instead of a full CA chain
cert_data str: PEM encoded certificate for client auth
cert_file str: Path to a file containing the PEM encoded certificate for client auth
endpoints Sequence[str]
es_client_authentication str: ES Client Authentication field to be used with the JWT token
headers Mapping[str, str]: A list of headers to be sent with each request to Elasticsearch.
insecure bool: Disable TLS certificate validation
key_data str: PEM encoded private key for client auth
key_file str: Path to a file containing the PEM encoded private key for client auth
password str: Password to use for API authentication to Elasticsearch.
username str: Username to use for API authentication to Elasticsearch.

apiKey String: API Key to use for authentication to Elasticsearch
bearerToken String: Bearer Token to use for authentication to Elasticsearch
caData String: PEM-encoded custom Certificate Authority certificate
caFile String: Path to a custom Certificate Authority certificate
caFingerprint String: SHA-256 hex fingerprint (64 hexadecimal characters, no colons or separators) of the server TLS certificate used to pin the connection instead of a full CA chain
certData String: PEM encoded certificate for client auth
certFile String: Path to a file containing the PEM encoded certificate for client auth
endpoints List<String>
esClientAuthentication String: ES Client Authentication field to be used with the JWT token
headers Map<String>: A list of headers to be sent with each request to Elasticsearch.
insecure Boolean: Disable TLS certificate validation
keyData String: PEM encoded private key for client auth
keyFile String: Path to a file containing the PEM encoded private key for client auth
password String: Password to use for API authentication to Elasticsearch.
username String: Username to use for API authentication to Elasticsearch.

Package Details

Repository: elasticstack elastic/terraform-provider-elasticstack
License
Notes: This Pulumi package is based on the elasticstack Terraform Provider.

Viewing docs for elasticstack 0.16.2
published on Saturday, Jul 4, 2026 by elastic

Schema (JSON)

elastic/terraform-provider-elasticstack

elasticstack.getElasticsearchMlTrainedModel

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Example Usage

Using getElasticsearchMlTrainedModel

getElasticsearchMlTrainedModel Result

Supporting Types

GetElasticsearchMlTrainedModelElasticsearchConnection

Package Details

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elasticstack.getElasticsearchMlTrainedModel

On this page

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Example Usage

Using getElasticsearchMlTrainedModel

getElasticsearchMlTrainedModel Result

Supporting Types

GetElasticsearchMlTrainedModelElasticsearchConnection

Package Details

On this page

On this page

Try Pulumi Cloud free.Your team will thank you.

Try Pulumi Cloud free.
Your team will thank you.