/elasticsearch/reference/current/search-request-scroll.html#scroll-scan
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On Thu, Apr 16, 2015 at 10:46 PM, Andrejs Abele
andrejs.ab...@insight-centre.org
mailto:andrejs.ab...@insight-centre.org wrote:
Hi,
I have data in my ElasticSearch
Hi,
I have data in my ElasticSearch server, when I query it using rest
interface, I get results and score for each result, but when I run the
same query in spark using ElasticSearch API, I get results and meta
data, but the score is shown 0 for each record.
My configuration is
...
val conf = new
Hi,
Can some one pleas sugest me, what is the best way to output spark data as
JSON file. (File where each line is a JSON object)
Cheers,
Andrejs
I found my problem. I assumed based on TF-IDF in Wikipedia , that log base
10 is used, but as I found in this discussion
https://groups.google.com/forum/#!topic/scala-language/K5tbYSYqQc8, in
scala it is actually ln (natural logarithm).
Regards,
Andrejs
On Thu, Oct 30, 2014 at 10:49 PM, Ashic
Hi,
I'm new to Mllib and spark. I'm trying to use tf-idf and use those values
for term ranking.
I'm getting tf values in vector format, but how can get the values of
vector?
val sc = new SparkContext(conf)
val documents: RDD[Seq[String]] =
Hi,
I'm writing a paper and I need to calculate tf-idf. Whit your help I
managed to get results, I needed, but the problem is that I need to be able
to explain how each number was gotten. So I tried to understand how idf was
calculated and the numbers i get don't correspond to those I should get .
