sunspot | Solr-powered search for Ruby objects | Search Engine library

We can create

• a zoo series (z). zoo generalizes ts allowing arbitrary unique times.
• a ts series with NAs and times 0, 1, 2, 3, ..., 12 or
• a ts series ignoring the times and using 1, 2, 3, 4, 5 for the times

with the following code:

Try using regexp_extract:

I'm guessing the confusion stems from "the queries being boosted by the same value" - that's not true - the boost is the score of the query itself, which is then amplified 10x by your ^10.

The bq is additive - the score from the query is added to the score of the document (while boost is multiplicative, the score is multiplied by the boost query).

If you instead want to add the same score value to the original query based on either one matching, you can use ^=10 which makes the query constant scoring (the score will be 10 for that term, regardless of the regular score of the document).

Also, if you want to apply these factors independent of each other (instead of as a single, merged score with contributions from both factors), use multiple bq entries instead.

Try add the allowed ssh keys to your production machine/ server. That is:

1. run cat ~/.ssh/id_rsa.pub on your local machine
2. Then run ~/.ssh/authorized_keys on your server/production machine
3. Copypaste the result of step 1 above in your authorized_keys file on your server
4. then run cap production deploy command again

Incase you don't see authorized_keys file when run ~/.ssh/authorized_keys you can combine all the above commands that is 1 to 3 by running cat ~/.ssh/id_rsa.pub | ssh USER@HOST "mkdir -p ~/.ssh && cat >> ~/.ssh/authorized_keys".

Make your index column such that it can be converted to date object.

Try this:

Because it's a time-series, we can extract the "time" component with the (wait for it) time function :-)

You are using

Take a look at this example which shows how to train a nn on an XOR relationship. First you have to convert your doubles into ndarrays. To do this use the Nd4j.create(...) method. Then you need to set up a dataset like here.