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| author | Melissa Zhang <mzhang19096@gmail.com> | 2020-07-23 13:33:29 -0700 |
|---|---|---|
| committer | Melissa Zhang <mzhang19096@gmail.com> | 2020-07-23 13:33:29 -0700 |
| commit | 38b264599af2dca710b6c54d76cf30aade5e2f49 (patch) | |
| tree | 4ec3b7fb03fcc4c81160dedea651f41cdb84c331 /src/server/Recommender.ts | |
| parent | 86a8751ca5a66fd42d7b2b3dee56210f2ef2b62d (diff) | |
| parent | 3bcc0e3a8ce4ab67dff4b3d62191c346764aa351 (diff) | |
merge with master
Diffstat (limited to 'src/server/Recommender.ts')
| -rw-r--r-- | src/server/Recommender.ts | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/src/server/Recommender.ts b/src/server/Recommender.ts index 423ce9b46..935ec3871 100644 --- a/src/server/Recommender.ts +++ b/src/server/Recommender.ts @@ -21,7 +21,6 @@ // private choice: string = ""; // Tensorflow or Word2Vec // constructor() { -// console.log("creating recommender..."); // Recommender.Instance = this; // } @@ -70,7 +69,6 @@ // if (this._model) { // if (this.choice === "WV") { // let similarity = this._model.similarity('father', 'mother'); -// console.log(similarity); // } // else if (this.choice === "TF") { // const model = this._model as use.UniversalSentenceEncoder; @@ -119,7 +117,6 @@ // } // // public async trainModel() { -// // console.log("phrasing..."); // // w2v.word2vec("./node_modules/word2vec/examples/eng_news-typical_2016_1M-sentences.txt", './node_modules/word2vec/examples/my_phrases.txt', { // // cbow: 1, // // size: 200, @@ -131,7 +128,6 @@ // // iter: 200, // // minCount: 2 // // }); -// // console.log("phrased!!!"); // // } // } |