Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.
Apache License 2.0
170
stars
75
forks
source link
Increase iteration count for ldaModel.inference testing #73
Hi,
It seems that these distance computation functions (i.e., euclideanDistance(a, b)) frequently return the euclidean distance upper than 0.1.
I'm not sure this is the best solution but I think it's better than to set the larger value (e.g., use 0.3 instead of 0.1) for similarity testing.
titsuki
commented
5 years ago
Hi, It seems that these distance computation functions (i.e.,
euclideanDistance(a, b)) frequently return the euclidean distance upper than0.1. I'm not sure this is the best solution but I think it's better than to set the larger value (e.g., use0.3instead of0.1) for similarity testing.Cheers,