then means that purchasing I2 should lead to the
recommendation of viewing I1, is that correct? Of course, ignoring the other
indicators for now.
Thank you,
Nikaash Puri
ed more help.
Thank you,
Nikaash Puri
> On 03-May-2016, at 9:49 PM, Rohit Jain <rohitkjai...@gmail.com> wrote:
>
> Hello Pat,
> Can you please explain it in little detail. I didn't understand how to go
> about it.
>
> On Tue, May 3, 2016 at 9:08 PM, Pat Ferrel <
on larger
datasets and share my findings.
Thank you,
Nikaash Puri
ep keeps showwing this following message.
>> Initial job has not accepted any resources; check your cluster UI to
>> ensure that workers are registered and have sufficient resources
>>
>> On Thu, Apr 14, 2016 at 3:48 PM, Nikaash Puri <nikaashp...@gmail.com>
>> wrote:
>
mo1.txt, expected: file:///
>
> On Thu, Apr 14, 2016 at 3:41 PM, Nikaash Puri <nikaashp...@gmail.com> wrote:
>
>> Hi,
>>
>> You’d need to specify the complete path along with HDFS URI. for eg.
>> hdfs://namenode:/path/to/file.
>>
>> - Nikaash
oop input file.
> How to make it work on hadoop uri?
>
> /Users/rohitjain/Documents/apache-mahout-distribution-0.11.2/bin/mahout
> spark-itemsimilarity -i spdemo.txt -o /spout --filter1 like -fc 1 -ic 2
> -D:spark.io.compression.codec=lzf
>
> On Thu, Apr 14, 2016 at 3:19 PM,
il.com> wrote:
>
> yes. i am downloading the that library and putting it java/lib/ path.
> Anythingelse need to be done?
>
> On Thu, Apr 14, 2016 at 3:08 PM, Nikaash Puri <nikaashp...@gmail.com> wrote:
>
>> Hi Rohit,
>>
>> It’s a snappy library is
Hi Rohit,
It’s a snappy library issue. Are you running on Mac?
Anyhow, run it like this:
./bin/mahout spark-itemsimilarity --input --output
-D:spark.io.compression.codec=lzf
Nikaash
> On 14-Apr-2016, at 12:25 PM, Rohit Jain wrote:
>
> Hello everyone,
> I am new to
Hi,
Just wondering whether there is support to use root Log Likelihood Ratio
using some sort of flag in the cooccurrencesIDSs function
in org.apache.mahout.math.cf.SimilarityAnalysis. Else, I can create and
issue and work on it to add said support.
Thank you,
Nikaash Puri