h2o.isax

Number of iSAX words for the timeseries. ie granularity along the time series

num_words

Maximum cardinality of the iSAX word. Each word can have less than the max

max_cardinality

An optimization flag that will find the max cardinality regardless of what is passed in for max_cardinality.

optimize_card

Compute the iSAX index for a DataFrame which is assumed to be numeric time series 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.isax: iSAX

Description

Usage

Arguments

Value

References