Merge pull request #46 from rajitha1998/autoMLExaamples

Writing Google Cloud  AutoML examples

Author: rajikaimal

examples/artificialInteligence/autoML.js

@@ -0,0 +1,184 @@
+const nodeCloud = require("../../lib/");
+const ncProviders = nodeCloud.getProviders({ overrideProviders: false });
+
+const machineLearningModule = ncProviders.google.autoML();
+
+function displayModels() {
+  machineLearningModule.listModels({ location: "us-central1" }).then(
+    result => {
+      console.log("Output :", result);
+    },
+    error => {
+      console.error(error);
+    }
+  );
+}
+
+function importData() {
+  const data = {
+    targetDataset: {
+      id: "TBL2227541288641626112",
+      location: "us-central1"
+    },
+    // The source should be located in the same region as the target dataset
+    source: ["gs://node_cloud/netflix_titles.csv"]
+  };
+  machineLearningModule.importDataSet(data).then(
+    result => {
+      console.log("Output :", result);
+    },
+    error => {
+      console.error(error);
+    }
+  );
+}
+
+function createDataset() {
+  const datasetDetails = { location: "us-central1", name: "NetflixAndChill" };
+  machineLearningModule.createDataset(datasetDetails).then(
+    result => {
+      console.log("Output :", result);
+    },
+    error => {
+      console.error(error);
+    }
+  );
+}
+
+function createModel() {
+  const modelDetails = {
+    location: "us-central1",
+    datasetId: "TBL2227541288641626112",
+    tableId: "550696995841376256",
+    columnId: "1191783743090589696",
+    trainBudget: "1000",
+    modelName: "showClassifier"
+  };
+
+  machineLearningModule.createModel(modelDetails).then(
+    result => {
+      console.log("Output :", result);
+      console.log("Training started...");
+    },
+    error => {
+      console.error(error);
+    }
+  );
+}
+
+function getDataset() {
+  machineLearningModule
+    .getDataset({
+      location: "us-central1",
+      datasetId: "TBL2227541288641626112"
+    })
+    .then(
+      result => {
+        console.log("Output :", result);
+      },
+      error => {
+        console.error(error);
+      }
+    );
+}
+
+function deployModel() {
+  machineLearningModule
+    .deployModel({
+      location: "us-central1",
+      modelId: "TBL3874357918887313408"
+    })
+    .then(
+      result => {
+        console.log("Model deployment completed :", result);
+      },
+      error => {
+        console.error(error);
+      }
+    );
+}
+
+function undeployModel() {
+  machineLearningModule
+    .undeployModel({
+      location: "us-central1",
+      modelId: "TBL3874357918887313408"
+    })
+    .then(
+      result => {
+        console.log("Model successfully undeployed :", result);
+      },
+      error => {
+        console.error(error);
+      }
+    );
+}
+
+function getModel() {
+  machineLearningModule
+    .getModel({
+      location: "us-central1",
+      modelId: "TBL3874357918887313408"
+    })
+    .then(
+      result => {
+        console.log("Model name: ", result.displayName);
+        console.log(result);
+      },
+      error => {
+        console.error(error);
+      }
+    );
+}
+
+function exportDataset() {
+  machineLearningModule
+    .exportDataset({
+      location: "us-central1",
+      datasetId: "TBL2227541288641626112",
+      gcsUri: "gs://node_cloud/netflix_titles.csv"
+    })
+    .then(
+      result => {
+        console.log("Data exporting completed");
+        console.log("Output :", result);
+      },
+      error => {
+        console.error(error);
+      }
+    );
+}
+
+function deleteModel() {
+  machineLearningModule
+    .deleteModel({
+      location: "us-central1",
+      modelId: "TBL3874357918887313408"
+    })
+    .then(
+      result => {
+        console.log("Model successfully deleted");
+        console.log("Output :", result);
+      },
+      error => {
+        console.error(error);
+      }
+    );
+}
+
+function deleteDataset() {
+  machineLearningModule
+    .deleteDataset({
+      location: "us-central1",
+      datasetId: "TBL2227541288641626112"
+    })
+    .then(
+      result => {
+        console.log("Dataset successfully deleted");
+        console.log("Output :", result);
+      },
+      error => {
+        console.error(error);
+      }
+    );
+}