diff options
author | ab <abdullah_ahmed@brown.edu> | 2019-10-03 12:50:33 -0400 |
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committer | ab <abdullah_ahmed@brown.edu> | 2019-10-03 12:50:33 -0400 |
commit | a44e12f4625caca5d75a456f0ba1ab977149ae6e (patch) | |
tree | 731b8fad3bfe5b0696a5670e31eaa72fb31f6d0c /src/client/cognitive_services/CognitiveServices.ts | |
parent | 77be33c927b52f93e862b868321f79c59bfc050d (diff) |
data sync
Diffstat (limited to 'src/client/cognitive_services/CognitiveServices.ts')
-rw-r--r-- | src/client/cognitive_services/CognitiveServices.ts | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts index b23441552..7c660c347 100644 --- a/src/client/cognitive_services/CognitiveServices.ts +++ b/src/client/cognitive_services/CognitiveServices.ts @@ -269,12 +269,12 @@ export namespace CognitiveServices { //keyterms = ["father", "king"]; let args = { method: 'POST', uri: Utils.prepend("/recommender"), body: { keyphrases: keyterms }, json: true }; await requestPromise.post(args).then(async (wordvecs) => { - if (wordvecs.shape[0] > 0) { + if (wordvecs.length > 0) { console.log("successful vectorization!"); var vectorValues = new Set<number[]>(); wordvecs.forEach((wordvec: any) => { //console.log(wordvec.word); - vectorValues.add(wordvec.values as number[]); + vectorValues.add(wordvec as number[]); }); ClientRecommender.Instance.mean(vectorValues, dataDoc, mainDoc); } // adds document to internal doc set |