[jira] [Assigned] (SPARK-19892) Implement findAnalogies method for Word2VecModel
[ https://issues.apache.org/jira/browse/SPARK-19892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19892: Assignee: Apache Spark > Implement findAnalogies method for Word2VecModel > - > > Key: SPARK-19892 > URL: https://issues.apache.org/jira/browse/SPARK-19892 > Project: Spark > Issue Type: New Feature > Components: MLlib >Affects Versions: 2.1.0 >Reporter: Benjamin Radford >Assignee: Apache Spark >Priority: Minor > Labels: features, newbie > > Word2VecModel is missing a method that allows for performing analogy-like > queries on word vectors (e.g. King + Woman - Man = Queen). This is a > functionality common to other word2vec implementations (see gensim) and is a > major component of word2vec's appeal as cited in seminal works on the model > (https://code.google.com/archive/p/word2vec/). > An implementation of this method, findAnalogies, should accept three > arguments: > * positive - Array[String] of similar words > * negative - Array[String] of dissimilar words > * num - Int number of synonyms or nearest neighbors to calculated vector -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-19892) Implement findAnalogies method for Word2VecModel
[ https://issues.apache.org/jira/browse/SPARK-19892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19892: Assignee: (was: Apache Spark) > Implement findAnalogies method for Word2VecModel > - > > Key: SPARK-19892 > URL: https://issues.apache.org/jira/browse/SPARK-19892 > Project: Spark > Issue Type: New Feature > Components: MLlib >Affects Versions: 2.1.0 >Reporter: Benjamin Radford >Priority: Minor > Labels: features, newbie > > Word2VecModel is missing a method that allows for performing analogy-like > queries on word vectors (e.g. King + Woman - Man = Queen). This is a > functionality common to other word2vec implementations (see gensim) and is a > major component of word2vec's appeal as cited in seminal works on the model > (https://code.google.com/archive/p/word2vec/). > An implementation of this method, findAnalogies, should accept three > arguments: > * positive - Array[String] of similar words > * negative - Array[String] of dissimilar words > * num - Int number of synonyms or nearest neighbors to calculated vector -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
