these runners seem to be working again.
Revert "No longer log *anything* to DKV."

This reverts commit fdc8a6f5408c3a086b517c7e8f43f7c75e7f1b03.
make test cases smaller
Initial commit of Kaggle script for Africa Soil Challenge.
Add support for ensemble DL models.
Submission 11
Submission 12
Add experimental support for random projections to limit the input layer size.
Not exposed to the user, as initial test results are not completed.
Allow modification of l1/l2/max_w2 after checkpoint restart.
Note that this means that the user now HAS to specify the values after a
checkpoint restart. Might have to undo that in the future.
Improve computation of cross-validated CMRMSE.
Repro Submission 1 scores.
Submission 13.
Submission 14, use ReLU with Dropout and different rho/epsilon for better P scores.
Submission 15
Fix submission 15.
Do CV on submission 15 to compare to scored results.
I replicated the libsvm data from h2ostream that apparently didn't autodetect as libsvm.
just 5 lines.
If i don't say parser_type=SVMLight  it parses as enums (bad)
If I say parser_type=SVMLight, it gets this error in the parse json result:
rjson error in parse: Argument 'source_key' error: Parser setup appears to be broken, got SVMLight data with (estimated) 13 columns.

I looked at my other libsvm tests. Typically I don't specify parser_type=SVMLight
I wonder if those tests are parsing as enums now? but I thought I did some algos on them.

Maybe because the # of rows is small?

In any case, h2o is probably supposed to auto-detect as libsvm, and especially if I say parser_type=SVMLight it should parse it.

I didn't see anything wrong with the data. Col#s increment
I even stripped the multiple spaces in the separation
add parser_type param to R
add test for parser_type param
add the second case of data to be used, if the first case is resolved
oops was pointing to /home/kevin. still same issue though?
h2o.getModel now works for NaiveBayes