h2o.parseSetup

data

(Optional) The hex key assigned to the parsed file.

destination_frame

(Optional) A logical value indicating whether the first row is
the column header. If missing, H2O will automatically try to detect
the presence of a header.

header

(Optional) The field separator character. Values on each line of
the file are separated by this character. If <code>sep = ""</code>, the
parser will automatically detect the separator.

(Optional) An H2OFrame object containing a
single delimited line with the column names for the file.

col.names

(Optional) A vector specifying the types to attempt to force
over columns.

col.types

(Optional) H2O will interpret these strings as missing.

na.strings

(Optional) Specify which parser type H2O will use.
Valid types are "ARFF", "XLS", "CSV", "SVMLight"

parse_type


Get a parse setup back for the staged data.


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.

h2o.parseSetup: Get a parse setup back for the staged data.

Description

Usage

Arguments