I am trying to understand the logistic regression implemented in mahout In
org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
What is the role of Protected Matrix beta(numCategories-1) x numFeatures
How where this beta matrix is updated and
How where the local
In the GenericUserBasedRecommender the concept of a neighborhood seems to
be fundamental.
I.e., it is a classic implementation of the kNN algorithm.
But it is not the case with the GenericItemBasedRecommender.
I understand that the two approaches are not meant to be completely
symmetric,
but
It's also valid, yes. The difference is partly due to asymmetry, but also
just historical (i.e. no great reason). The item-item system uses a
different strategy for picking candidates based on CandidateItemStrategy.
On Thu, Feb 21, 2013 at 2:37 PM, Koobas koo...@gmail.com wrote:
In the
On Thu, Feb 21, 2013 at 9:39 AM, Sean Owen sro...@gmail.com wrote:
It's also valid, yes. The difference is partly due to asymmetry, but also
just historical (i.e. no great reason).* The item-item system uses a
different strategy for picking candidates based on CandidateItemStrategy.*
Where
I've been running some performance test with the LDA algorithm and I'm unsure
how to gauge them. I ran 10 iterations each time and collected the perplexity
value every 2 iterations with test fraction set to 0.1. These were all run on
an AWS cluster with 10 nodes (70 mapper, 30 reducers). I'm
The javadoc should be a nice start
https://builds.apache.org/job/Mahout-Quality/javadoc/org/apache/mahout/cf/taste/impl/recommender/AbstractCandidateItemsStrategy.html
Apart from that, I'd say you should have a look around the code.
On Thu, Feb 21, 2013 at 3:42 PM, Koobas koo...@gmail.com
I am quite interested in trying this but have a few questions.
To use/abuse mahout to do this:
A and B can be thought of as having the same size, in other words they must be
constructed to have the same dimension definitions (userID for rows, itemID for
columns) as well as row and column rank.
On Thu, Feb 21, 2013 at 11:48 AM, David LaBarbera
davidlabarb...@localresponse.com wrote:
Is there a rule of thumb for determining leveling off of perplexity? Is
this value controlled by the convergence delta?
The value of where the driver will automatically stop issuing new
iterations is
Hi Ted,
My apologizes for the delay to reply, as I was brushing up my
networking skills before I can discuss.
Few of those topics which I want to start with will be,
1) Deep packet inspection - Can be useful for Intrusion
detection (NIDS) by doing the
