h2o.hist

A single numeric column from an H2OFrame.

Can be one of the following:
A string: "Sturges", "Rice", "sqrt", "Doane", "FD", "Scott"
A single number for the number of breaks splitting the range of the vec into number of breaks bins of equal width
A vector of numbers giving the split points, e.g., c(-50,213.2123,9324834)

breaks

A logical value indicating whether or not a plot should be generated (default is TRUE).

plot

Compute a histogram over a numeric column. If breaks=="FD", the MAD is used over the IQR
in computing bin width. Note that we do not beautify the breakpoints as R does.

R interface for 'H2O', the scalable open source machine learning
platform that offers parallelized implementations of many supervised and
unsupervised machine learning algorithms such as Generalized Linear
Models, Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox
Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic
machine learning algorithm (AutoML).

Erin LeDell

R Interface for the 'H2O' Scalable Machine Learning Platform

Navdeep Gill

Spencer Aiello

Anqi Fu

Arno Candel

Cliff Click

Tom Kraljevic

Tomas Nykodym

Patrick Aboyoun

Michal Kurka

Michal Malohlava

Ludi Rehak

Eric Eckstrand

Brandon Hill

Sebastian Vidrio

Surekha Jadhawani

Amy Wang

Raymond Peck

Wendy Wong

Jan Gorecki

Matt Dowle

Yuan Tang

Lauren DiPerna

H2O.ai 

h2o.hist function

Compute A Histogram — h2o.hist

Compute A Histogram

h2o.hist: Compute A Histogram

Description

Usage

Arguments