h2o.computeGram

an <a href="/link/?package=h2o&version=3.10.5.3" data-mini-rdoc="h2o::"></a> corresponding to H2O framel.

character corresponding to name of weight vector in frame.

weights

logical flag telling h2o whether or not to skip first level of categorical variables during one-hot encoding.

use_all_factor_levels

logical flag telling h2o whether or not to standardize data

standardize

logical flag telling h2o whether skip rows with missing data or impute them with mean

skip_missing

R scripting functionality for H2O, the open source
math engine for big data that computes parallel distributed
machine learning algorithms such as generalized linear models,
gradient boosting machines, random forests, and neural networks
(deep learning) within various cluster environments.

Tom Kraljevic

R Interface for H2O

h2o.computeGram function

an <a href='H2OModel'></a> corresponding to H2O framel.

h2o.computeGram: Compute weighted gram matrix.

Description

Usage

Arguments