When I run the sample program Word2VecRawTextExample.java
url: [ https://raw.githubusercontent.com/deeplearning4j/dl4j-0.4-examples/master/src/main/java/org/deeplearning4j/examples/nlp/word2vec/Word2VecRawTextExample.java ]
to generate word2Vec vectors for a given file of sample sentences, I get different word vector weightings each time I run the process.
I would have thought that given the process is seeded, the result should be the same each time?
You need to set the seed like .seed(144) to get consistent results. Please join us on Gitter if you have questions: https://gitter.im/deeplearning4j/deeplearning4j
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