correlation matrix completed

1 files changed, 26 insertions, 1 deletions

diff --git a/src/server/Recommender.ts b/src/server/Recommender.ts
index 3c71f3aa1..ea59703c3 100644
--- a/src/server/Recommender.ts
+++ b/src/server/Recommender.ts
@@ -1,4 +1,10 @@
+//import { Doc } from "../new_fields/Doc";
+//import { StrCast } from "../new_fields/Types";
+//import { List } from "../new_fields/List";
+//import { CognitiveServices } from "../client/cognitive_services/CognitiveServices";
+
 var w2v = require('word2vec');
+var assert = require('assert');
 
 export class Recommender {
 
@@ -10,6 +16,10 @@ export class Recommender {
         Recommender.Instance = this;
     }
 
+    /***
+     * Loads pre-trained model from word2vec
+     */
+
     private loadModel(): Promise<any> {
         let self = this;
         return new Promise(res => {
@@ -20,6 +30,10 @@ export class Recommender {
         });
     }
 
+    /***
+     * Testing
+     */
+
     public async testModel() {
         if (!this._model) {
             await this.loadModel();
@@ -33,6 +47,10 @@ export class Recommender {
         }
     }
 
+    /***
+     * Tests if instance exists
+     */
+
     public async testInstance(text: string) {
         if (!this._model) {
             await this.loadModel();
@@ -40,14 +58,21 @@ export class Recommender {
         console.log(text);
     }
 
+    /***
+     * Uses model to convert words to vectors
+     */
+
     public async vectorize(text: string[]) {
         if (!this._model) {
             await this.loadModel();
         }
         if (this._model) {
             let word_vecs = this._model.getVectors(text);
-            console.log(word_vecs[0]);
             return word_vecs;
         }
     }
+
+
+
+
 }