Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/9057#issuecomment-155661487
@selvinsource Sorry for taking too long a time. I check the code and
generated XML file carefully. The null pointer is caused by a mistake that I
process continuous features into categorical ones.
Actually, the naive bayes model generated in multinomial distribution
should be treated as continuous features, and we should use
```
Continuous Input3 i3 mean[i3,t1],variance[i3,t1]
mean[i3,t2],variance[i3,t2] mean[i3,t3],variance[i3,t3]
```
to generate the XML file, other than categorical ones.
For model generated in Bernoulli way, we should treat its features
categorically. I.e. use
```
Discrete Input2 i21 count[i21,t1] count[i21,t2] count[i21,t3]
...
i22 count[i22,t1] count[i22,t2] count[i22,t3] ...
i23 count[i23,t1] count[i23,t2] count[i23,t3] ...
... ... ... ...
```
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
