Merge branch 'master' of https://github.com/0xdata/h2o
Merge branch 'master' into arno-deeplearning2
minor tweaks in GLM2:
 a) fixed cross validation in lambda_search (was only storing the last model's xval)
 b) fixed display of lambda on glmview page  (refactoring turned &lambda; into &lambda_value; in html output)
 c) updated defaults for nlambda and lambda_min params in R interface to -1 (so that h2o will decide based on the data)
 d) added max_predictors param to R interface.
Merge branch 'master' of github.com:0xdata/h2o
Add comment to GLM2 page that you need use_all_factor_levels for variable importance.
Updated glm R interface (parameter checking to recognize -1 as special default value)
Merge branch 'master' of github.com:0xdata/h2o
Use IllegalArgumentException instead of InvalidArgumentException.
Merge branch 'master' of https://github.com/0xdata/h2o
Merge branch 'master' into arno-deeplearning2
Fix of glm2 display. More lambda_value -> lambda renamings.
Merge branch 'master' of github.com:0xdata/h2o
PUB-783: Add helper functions to scale categorical factor level predictions to probabilities, and revert real value scaling/shifting.
Cosmetics.
glm R update: fixed number of predictors (off by 1) in H2OGLMModelList display.
Add a test for retrieving lambda search models when doing grid search in GLM
Fixed bug in glm2 lambda_search. Did hit infinite loop if strong rules stop filtering out columns.
Merge branch 'master' of github.com:0xdata/h2o
PUB-783: Implement auto-encoder data reconstruction for categorical data.

1) Compute MSE of reconstruction in horizontalized space (where categorical values are scaled via SoftMax to get probabilities).
2) Reconstructed frame (via model.score(test)) has horizontalized features, with per-factor-level probability.
PUB-783: Add JUnit test for reconstruction and outlier detection for categorical (Airline) data.