// This is an automatically generated code sample.
// To make this code sample work in your Oracle Cloud tenancy,
// please replace the values for any parameters whose current values do not fit
// your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
// boolean, number, and enum parameters with values not fitting your use case).
import * as ailanguage from "oci-ailanguage";
import common = require("oci-common");
// Create a default authentication provider that uses the DEFAULT
// profile in the configuration file.
// Refer to <see href="https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File>the public documentation</see> on how to prepare a configuration file.
const provider: common.ConfigFileAuthenticationDetailsProvider = new common.ConfigFileAuthenticationDetailsProvider();
(async () => {
try {
// Create a service client
const client = new ailanguage.AIServiceLanguageClient({ authenticationDetailsProvider: provider });
// Create a request and dependent object(s).
const createModelDetails = {
displayName: "EXAMPLE-displayName-Value",
description: "EXAMPLE-description-Value",
compartmentId: "ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
projectId: "ocid1.test.oc1..<unique_ID>EXAMPLE-projectId-Value",
modelDetails: {
modelType: "PRE_TRAINED_NAMED_ENTITY_RECOGNITION", version: "EXAMPLE-version-Value",
languageCode: "EXAMPLE-languageCode-Value"
}
,
trainingDataset: {
datasetType: "OBJECT_STORAGE", locationDetails: {
locationType: "OBJECT_LIST", namespaceName: "EXAMPLE-namespaceName-Value",
bucketName: "EXAMPLE-bucketName-Value",
objectNames: ["EXAMPLE--Value" ]
}
}
,
testStrategy: {
strategyType: "TEST_AND_VALIDATION_DATASET", testingDataset: {
datasetType: "DATA_SCIENCE_LABELING", datasetId: "ocid1.test.oc1..<unique_ID>EXAMPLE-datasetId-Value"
}
,
}
,
freeformTags: {
EXAMPLE_KEY_RnMKP :"EXAMPLE_VALUE_s52e7XyFe8NJzs5jeH1s"
},
definedTags: {
EXAMPLE_KEY_ihpon :{
EXAMPLE_KEY_sdkdb :"EXAMPLE--Value"
}
},
}
const createModelRequest: ailanguage.requests.CreateModelRequest = {
createModelDetails: createModelDetails,
opcRetryToken: "EXAMPLE-opcRetryToken-Value",
opcRequestId: "GMMJKQF7AD272NBH5NWR<unique_ID>",
};
// Send request to the Client.
const createModelResponse = await client.createModel(createModelRequest);
}
catch (error) {
console.log("createModel Failed with error " + error);
}
})();