Use tfjs build for browser side

Author: risenW

danfojs/src/core/frame.js

@@ -12,7 +12,7 @@
 * limitations under the License.
 */
 
-import * as tf from "@tensorflow/tfjs-core";
+import * as tf from "@tensorflow/tfjs";
 import Ndframe from "./generic";
 import { Series } from "./series";
 import { Utils } from "./utils";

danfojs/src/core/generic.js

@@ -13,14 +13,15 @@
  *
 */
 
-import * as tf from "@tensorflow/tfjs-core";
+import * as tf from "@tensorflow/tfjs";
 import { table } from "table";
 import { Utils } from "./utils";
 import { Configs } from "../config/config";
 
+
 const utils = new Utils();
 const config = new Configs(); //package wide configuration object
-
+const _VERSION = "0.1.5";
 export default class NDframe {
   /**
    * N-Dimensiona data structure. Stores multi-dimensional
@@ -263,6 +264,14 @@ export default class NDframe {
     return this.index_arr;
   }
 
+  /**
+   * Returns current version
+   * @return {String} version of danfojs
+   */
+  get __version() {
+    return _VERSION;
+  }
+
   /**
    * Sets index of the NDFrame
    */

danfojs/src/core/series.js

@@ -14,7 +14,7 @@
 */
 
 
-import * as tf from "@tensorflow/tfjs-core";
+import * as tf from "@tensorflow/tfjs";
 import { variance, std } from 'mathjs';
 import { Utils } from "./utils";
 import { Str } from "./strings";

danfojs/src/core/utils.js

@@ -1,4 +1,5 @@
-import * as tf from "@tensorflow/tfjs-core";
+import * as tf from "@tensorflow/tfjs";
+import '@tensorflow/tfjs-backend-cpu';
 import { Configs } from "../config/config";
 
 const config = new Configs();

danfojs/src/io/reader.js

@@ -1,4 +1,4 @@
-import * as tf from "@tensorflow/tfjs-core";
+import * as tf from "@tensorflow/tfjs";
 import fetch from "node-fetch";
 import XLSX from "xlsx";
 import { open, Dataset, isDataset } from "frictionless.js";
@@ -191,7 +191,7 @@ export const read = async (
     }
   }
 
-  if ([ "csv", "xls", "xlsx" ].includes(await file.descriptor.format)) {
+  if (["csv", "xls", "xlsx"].includes(await file.descriptor.format)) {
     if (header) {
       let df = new DataFrame(rows.slice(1), { columns: rows[0] });
       return df;

danfojs/src/preprocessing/scalers.js

@@ -1,4 +1,4 @@
-import * as tf from "@tensorflow/tfjs-core";
+import * as tf from "@tensorflow/tfjs";
 import { Series } from "../core/series";
 import { DataFrame } from "../core/frame";
 import { Utils } from "../core/utils";