1.
H2O Advancements
Arno Candel, PhD
Chief Architect, Physicist & Hacker, H2O.ai
@ArnoCandel
July 18 2016

2.
New Enterprise Features
Auth & Security LDAP/Kerberos/HTTPS/Encryption for max. compliance, IPv6
Semi-Supervised Pre-train Deep Learning model on unlabeled data, then fine-tune
Large POJOs Productionize large Java models (multi-GB source code)
Hyper Parameter
Tuning
Automatically tunes model parameters for the desired metric,
with convergence-based early stopping for models and search
Steam Platform for Data Products - next-gen product
Sparkling Water 2.0 The killer app for the latest version of Apache Spark
Advanced Munging Bringing R’s data.table to H2O - scalable, fast and distributed
Mission-Critical Capabilities for Enterprise Production Use

3.
New Features for H2O Tree Algorithms: GBM + DRF
Highest Accuracy for Smarter Applications
Optimal missing
value handling
Missing data has meaning, is rarely missing at random
Optimal splits are found taking missing values into account
Quantile-based
histograms
Finds optimal split points for data with outliers,
e.g. -99999,0,1,2,3,4,5
New Algorithm ExtraTreesClassifier (pick best among random split points)
Robust Regression:
Huber loss for GBM
Higher accuracy for models on data with outliers
quadratic loss for inliers, linear loss for outliers
More tuning
parameters for
GBM
col_sample_rate_change_per_level - H2O exclusive
learn_rate_annealing - faster training
min_split_improvement - avoids overfitting
max_abs_leafnode_pred - avoids overfitting
sample_rate_per_class - for imbalanced datasets

4.
Integration with existing
GPU backends
Leverage open-source tools and research for
TensorFlow, Caffe, mxnet, Theano, etc.
Scalability and Ease of
Use/Deployment of H2O
Distributed training, real-time model inspection
Flow, R, Python, Spark/Scala, Java, REST, POJO, Steam
Convolutional Neural
Networks
Image, video, speech recognition, etc.
Recurrent Neural
Networks
Sequences, time series, etc.
NLP: natural language processing
Hybrid Neural Networks
Architectures
Speech to text translation, image captioning, scene
parsing, etc.
Deep Water: Next-Gen Deep Learning in H2O
Enterprise Deep Learning for Business Transformation
Much more about Deep Learning tomorrow afternoon!