samples: adds missing Node.js samples (#128)

* samples: adds missing Node.js samples

ai-platform/snippets/create-batch-prediction-job-video-action-recognition.js

@@ -0,0 +1,106 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+'use strict';
+
+function main(
+  batchPredictionDisplayName,
+  modelId,
+  gcsSourceUri,
+  gcsDestinationOutputUriPrefix,
+  project,
+  location = 'us-central1'
+) {
+  // [START aiplatform_create_batch_prediction_job_video_action_recognition]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.\
+   * (Not necessary if passing values as arguments)
+   */
+
+  // const batchPredictionDisplayName = 'YOUR_BATCH_PREDICTION_DISPLAY_NAME';
+  // const modelId = 'YOUR_MODEL_ID';
+  // const gcsSourceUri = 'YOUR_GCS_SOURCE_URI';
+  // const gcsDestinationOutputUriPrefix = 'YOUR_GCS_DEST_OUTPUT_URI_PREFIX';
+  //    eg. "gs://<your-gcs-bucket>/destination_path"
+  // const project = 'YOUR_PROJECT_ID';
+  // const location = 'YOUR_PROJECT_LOCATION';
+  const aiplatform = require('@google-cloud/aiplatform');
+  const {params} = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+
+  // Imports the Google Cloud Job Service Client library
+  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new JobServiceClient(clientOptions);
+
+  async function createBatchPredictionJobVideoActionRecognition() {
+    // Configure the parent resource
+    const parent = `projects/${project}/locations/${location}`;
+    const modelName = `projects/${project}/locations/${location}/models/${modelId}`;
+
+    // For more information on how to configure the model parameters object, see
+    // https://cloud.google.com/ai-platform-unified/docs/predictions/batch-predictions
+    const modelParamsObj = new params.VideoActionRecognitionPredictionParams({
+      confidenceThreshold: 0.5,
+    });
+
+    const modelParameters = modelParamsObj.toValue();
+
+    const inputConfig = {
+      instancesFormat: 'jsonl',
+      gcsSource: {uris: [gcsSourceUri]},
+    };
+    const outputConfig = {
+      predictionsFormat: 'jsonl',
+      gcsDestination: {outputUriPrefix: gcsDestinationOutputUriPrefix},
+    };
+    const batchPredictionJob = {
+      displayName: batchPredictionDisplayName,
+      model: modelName,
+      modelParameters,
+      inputConfig,
+      outputConfig,
+    };
+    const request = {
+      parent,
+      batchPredictionJob,
+    };
+
+    // Create batch prediction job request
+    const [response] = await jobServiceClient.createBatchPredictionJob(request);
+
+    console.log(
+      'Create batch prediction job video action recognition response'
+    );
+    console.log(`Name : ${response.name}`);
+    console.log('Raw response:');
+    console.log(JSON.stringify(response, null, 2));
+  }
+  createBatchPredictionJobVideoActionRecognition();
+  // [END aiplatform_create_batch_prediction_job_video_action_recognition]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));

ai-platform/snippets/create-hyperparameter-tuning-job-sample.js

@@ -0,0 +1,113 @@
+/*
+ * Copyright 2021 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+'use strict';
+
+function main(
+  displayName,
+  containerImageUri,
+  project,
+  location = 'us-central1'
+) {
+  // [START aiplatform_create_hyperparameter_tuning_job_sample]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   * (Not necessary if passing values as arguments)
+   */
+  /*
+  const displayName = 'YOUR HYPERPARAMETER TUNING JOB;
+  const containerImageUri = 'TUNING JOB CONTAINER URI;
+  const project = 'YOUR PROJECT ID';
+  const location = 'us-central1';
+    */
+  // Imports the Google Cloud Pipeline Service Client library
+  const {JobServiceClient} = require('@google-cloud/aiplatform');
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new JobServiceClient(clientOptions);
+
+  async function createHyperParameterTuningJob() {
+    // Configure the parent resource
+    const parent = `projects/${project}/locations/${location}`;
+
+    // Create the hyperparameter tuning job configuration
+    const hyperparameterTuningJob = {
+      displayName,
+      maxTrialCount: 2,
+      parallelTrialCount: 1,
+      maxFailedTrialCount: 1,
+      studySpec: {
+        metrics: [
+          {
+            metricId: 'accuracy',
+            goal: 'MAXIMIZE',
+          },
+        ],
+        parameters: [
+          {
+            parameterId: 'lr',
+            doubleValueSpec: {
+              minValue: 0.001,
+              maxValue: 0.1,
+            },
+          },
+        ],
+      },
+      trialJobSpec: {
+        workerPoolSpecs: [
+          {
+            machineSpec: {
+              machineType: 'n1-standard-4',
+              acceleratorType: 'NVIDIA_TESLA_K80',
+              acceleratorCount: 1,
+            },
+            replicaCount: 1,
+            containerSpec: {
+              imageUri: containerImageUri,
+              command: [],
+              args: [],
+            },
+          },
+        ],
+      },
+    };
+
+    const [response] = await jobServiceClient.createHyperparameterTuningJob({
+      parent,
+      hyperparameterTuningJob,
+    });
+
+    console.log('Create hyperparameter tuning job response:');
+    console.log(`\tDisplay name: ${response.displayName}`);
+    console.log(`\tTuning job resource name: ${response.name}`);
+    console.log(`\tJob status: ${response.state}`);
+  }
+
+  createHyperParameterTuningJob();
+  // [END aiplatform_create_hyperparameter_tuning_job_sample]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));

ai-platform/snippets/create-hyperparameter-tuning-job.js

@@ -0,0 +1,113 @@
+/*
+ * Copyright 2021 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+'use strict';
+
+function main(
+  displayName,
+  containerImageUri,
+  project,
+  location = 'us-central1'
+) {
+  // [START aiplatform_create_hyperparameter_tuning_job_sample]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   * (Not necessary if passing values as arguments)
+   */
+  /*
+  const displayName = 'YOUR HYPERPARAMETER TUNING JOB;
+  const containerImageUri = 'TUNING JOB CONTAINER URI;
+  const project = 'YOUR PROJECT ID';
+  const location = 'us-central1';
+    */
+  // Imports the Google Cloud Pipeline Service Client library
+  const {JobServiceClient} = require('@google-cloud/aiplatform');
+
+  // Specifies the location of the api endpoint
+  const clientOptions = {
+    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
+  };
+
+  // Instantiates a client
+  const jobServiceClient = new JobServiceClient(clientOptions);
+
+  async function createHyperParameterTuningJob() {
+    // Configure the parent resource
+    const parent = `projects/${project}/locations/${location}`;
+
+    // Create the hyperparameter tuning job configuration
+    const hyperparameterTuningJob = {
+      displayName,
+      maxTrialCount: 2,
+      parallelTrialCount: 1,
+      maxFailedTrialCount: 1,
+      studySpec: {
+        metrics: [
+          {
+            metricId: 'accuracy',
+            goal: 'MAXIMIZE',
+          },
+        ],
+        parameters: [
+          {
+            parameterId: 'lr',
+            doubleValueSpec: {
+              minValue: 0.001,
+              maxValue: 0.1,
+            },
+          },
+        ],
+      },
+      trialJobSpec: {
+        workerPoolSpecs: [
+          {
+            machineSpec: {
+              machineType: 'n1-standard-4',
+              acceleratorType: 'NVIDIA_TESLA_K80',
+              acceleratorCount: 1,
+            },
+            replicaCount: 1,
+            containerSpec: {
+              imageUri: containerImageUri,
+              command: [],
+              args: [],
+            },
+          },
+        ],
+      },
+    };
+
+    const [response] = await jobServiceClient.createHyperparameterTuningJob({
+      parent,
+      hyperparameterTuningJob,
+    });
+
+    console.log('Create hyperparameter tuning job response:');
+    console.log(`\tDisplay name: ${response.displayName}`);
+    console.log(`\tTuning job resource name: ${response.name}`);
+    console.log(`\tJob status: ${response.state}`);
+  }
+
+  createHyperParameterTuningJob();
+  // [END aiplatform_create_hyperparameter_tuning_job_sample]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+
+main(...process.argv.slice(2));