, July 01, 2014 12:14 AM
To: user@spark.apache.org
Subject: Re: Spark 1.0 and Logistic Regression Python Example
You were using an old version of numpy, 1.4? I think this is fixed in the
latest master. Try to replace vec.dot(target) by numpy.dot(vec, target), or use
the latest master. -Xiangrui
Hi,
I modified the example code for logistic regression to compute the error in
classification. Please see below. However the code is failing when it makes a
call to:
labelsAndPreds.filter(lambda (v, p): v != p).count()
with the error message (something related to numpy or dot product):
You were using an old version of numpy, 1.4? I think this is fixed in
the latest master. Try to replace vec.dot(target) by numpy.dot(vec,
target), or use the latest master. -Xiangrui
On Mon, Jun 30, 2014 at 2:04 PM, Sam Jacobs sam.jac...@us.abb.com wrote:
Hi,
I modified the example code for
