I forgot to include the users list in my response below:
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Interesting. I've been meaning to test the classifier in a similar way but
haven't had the time.
Basically what you did is created two classes:
1) A positive class
2) A very noisy negative class of "other stuff"
It was unc
Thank you Joel. I'm really having a good time with the machine learning
component in Solr. In this case, the weather model was built by
classifying tweets as positive or negative. I started by searching for
tweets with terms like tornado, storm, forecast, typhoon, hurricane,
blizzard, snow,
Can you describe the weather model?
In general the idea is to rerank the top N docs, because it will be too
slow to classify the whole result set.
In this scenario the search engine ranking will already be returning
relevant candidate documents and the model is only used to get a better
ordering
Hi All - One of the really neat features of solr 6 is the ability to
create machine learning models (information gain) and then use those
models as a query. If I want a user to be able to execute a query for
the text Hawaii and use a machine learning model related to weather
data, how can I co
