Fanoid commented on code in PR #191: URL: https://github.com/apache/flink-ml/pull/191#discussion_r1059261634
########## docs/content/docs/operators/feature/minhashlsh.md: ########## @@ -0,0 +1,276 @@ +--- +title: "MinHash LSH" +weight: 1 +type: docs +aliases: +- /operators/feature/minhashlsh.html +--- + +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +## MinHash LSH + +MinHash LSH is a Locality Sensitive Hashing (LSH) scheme for Jaccard distance metric. +The input features are sets of natural numbers represented as non-zero indices of vectors, +either dense vectors or sparse vectors. Typically, sparse vectors are more efficient. Review Comment: Some descriptions about these two APIs are updated. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
