Hi,
I am new to Lucene faceting and taxonomy. I saw few examples in some blogs
and in facets guide. Some have used CategoryPath with TaxonomyWriters,
TaxonomyReaders and FacetSearchParams. Some have used FacetFields without
using taxonomyWriters and TaxonomyReaders. What is the difference between
Hi,
Floats require 32 bits but norms are encoded on a single byte. So
there is a precision loss when encoding float values into a single
byte. In your example, 0.75 and 0.89 are sufficiently close to each
other so that they are encoded to the same byte.
On Wed, Mar 4, 2015 at 4:48 AM, wangdong w
Hi Adrien,
I read somewhere that norms are stored using docValues.
In my understanding, docvalues can store lossless float values.
So the question is, why are still several decode/encode methods exist in
similarity implementations?
Intuitively switching to docvalues for norms should prevent prec
Norms and doc values are indeed using the same API. However
implementations differ a bit (eg. norms are stored in memory and use
different compression schemes).
The precision loss is up to the similarity. You could write a
similarity impl which keeps full float precision, but scoring being
fuzzy a
Hi Mike,
Your solution work! I've been trying it with PhraseQuery and It works
pretty good.
Thank you so much.
David.
2015-03-03 23:00 GMT+01:00 Michael Sokolov :
> I believe you can accomplish what you are talking about using PhraseQuery,
> say: note that it has
>
> public void add(Term term,
You're welcome; thanks for letting us know
-Mike
On 03/04/2015 01:21 PM, David Villarejo wrote:
Hi Mike,
Your solution work! I've been trying it with PhraseQuery and It works
pretty good.
Thank you so much.
David.
2015-03-03 23:00 GMT+01:00 Michael Sokolov :
I believe you can accomplish w
thank you for your disscussion.
I am a junior user of lucene, so i am not**familiar with some deep
concept you mentioned.
my question is simple. I just want to know how to get 0.75 from
decode(encode(0.89)) in offical document.
why not 0.875? (0.875=0.5+0.25+0.125)
thanks
andrew
在 2015/3/
I have created a slightly hairy document collection that contains 10s of
millions of DNA sequence words that I wish to process to find rarer and unique
words. Each of the words is between 100 characters (nucleotides) and 1000
characters in length.
I have been able to use WildcardQuery and Fuzzy
Do you want to search for shingles?
On 3/4/2015 9:16 PM, Stephen Rudd wrote:
I have created a slightly hairy document collection that contains 10s of
millions of DNA sequence words that I wish to process to find rarer and unique
words. Each of the words is between 100 characters (nucleotides)
Hi,
Any help on this? Or Can someone point me to Faceted User guide of 4.10.3.
I cannot find it. Is it only available for Older version?
On Wed, Mar 4, 2015 at 2:38 PM, Gimantha Bandara wrote:
> Hi,
>
> I am new to Lucene faceting and taxonomy. I saw few examples in some blogs
> and in facets g
10 matches
Mail list logo