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drauschenbach/amalg-redis-train-kmeans

Created February 24, 2019 15:41
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amalg-redis-train-kmeans
$ redis-cli --eval train-kmeans-with-dependencies.lua 0,0
$ tail /usr/local/var/log/redis.log
22385:M 23 Feb 2019 12:48:23.898 - Accepted 127.0.0.1:49901
INFO Running Stuart (Embedded Spark 2.2.0)
INFO Local KMeans++ reached the max number of iterations: 30
INFO Local KMeans++ reached the max number of iterations: 30
INFO KMeans converged in 4 iterations.
INFO The cost is 320.460000
Model: KMeansModel(clusterCenters=1,2)
center 1 (3.0333333333333,0.033333333333333)
center 2 (4.55,0.05)
Predicts:
point (0,0) ==> center 1 (3.0333333333333,0.033333333333333)
point (0,0.1) ==> center 1 (3.0333333333333,0.033333333333333)
point (0.1,0) ==> center 1 (3.0333333333333,0.033333333333333)
point (9,0) ==> center 2 (4.55,0.05)
point (9,0.2) ==> center 2 (4.55,0.05)
point (9.2,0) ==> center 2 (4.55,0.05)
22385:M 23 Feb 2019 12:48:23.913 - Client closed connection
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