Bradley; dev@spark.apache.org
Subject: Re: Stochastic gradient descent performance
Yeah, a simple way to estimate the time for an iterative algorithms is
number of iterations required * time per iteration. The time per iteration
will depend on the batch size, computation required and the fixed
...@eecs.berkeley.edu]
Sent: Sunday, April 05, 2015 7:13 PM
To: Ulanov, Alexander
Cc: shiva...@eecs.berkeley.edu; Joseph Bradley; dev@spark.apache.org
Subject: Re: Stochastic gradient descent performance
Yeah, a simple way to estimate the time for an iterative algorithms is number
of iterations required * time
in and then one can blame it.
Best regards, Alexander
*From:* Joseph Bradley [mailto:jos...@databricks.com]
*Sent:* Thursday, April 02, 2015 10:51 AM
*To:* Ulanov, Alexander
*Cc:* dev@spark.apache.org
*Subject:* Re: Stochastic gradient descent performance
It looks like SPARK
: Thursday, April 02, 2015 1:26 PM
To: Joseph Bradley
Cc: Ulanov, Alexander; dev@spark.apache.org
Subject: Re: Stochastic gradient descent performance
I haven't looked closely at the sampling issues, but regarding the aggregation
latency, there are fixed overheads (in local and distributed mode
: Stochastic gradient descent performance
It looks like SPARK-3250 was applied to the sample() which GradientDescent
uses, and that should kick in for your minibatchFraction = 0.4. Based on
your numbers, aggregation seems like the main issue, though I hesitate to
optimize aggregation based
gradient descent performance
It looks like SPARK-3250 was applied to the sample() which GradientDescent
uses, and that should kick in for your minibatchFraction = 0.4. Based on your
numbers, aggregation seems like the main issue, though I hesitate to optimize
aggregation based on local tests for data
Sorry for bothering you again, but I think that it is an important issue for
applicability of SGD in Spark MLlib. Could Spark developers please comment on
it.
-Original Message-
From: Ulanov, Alexander
Sent: Monday, March 30, 2015 5:00 PM
To: dev@spark.apache.org
Subject: Stochastic