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| author | yunahi <60233430+yunahi@users.noreply.github.com> | 2020-07-28 01:53:21 +0900 |
|---|---|---|
| committer | yunahi <60233430+yunahi@users.noreply.github.com> | 2020-07-28 01:53:21 +0900 |
| commit | e8caa12dc736ef66741b5652425b0cb8b0a5eb16 (patch) | |
| tree | afd47f6b46d1d9c1d814650b2590b738cd36c495 /src/server/Recommender.ts | |
| parent | f3a331573be09115f9a92b8e927081f8f743c478 (diff) | |
| parent | f869c7a75eb6a2f6e6301aa76c57e383b41d3fea (diff) | |
merge fix
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!!!"); // // } // } |