h2o.tot_withinss

An <a href="/link/?package=h2o&version=3.28.0.2" h2oclusteringmodel'="" data-mini-rdoc="h2o::"></a>'>H2OClusteringModel object.

object

Retrieve the training total within cluster sum of squares

train

Retrieve the validation total within cluster sum of squares

valid

Retrieve the cross-validation total within cluster sum of squares

xval

If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more
than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid"
or "xval".

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.tot_withinss function

An <a href='<a href='H2OClusteringModel'></a>'>H2OClusteringModel</a> object.

Get the total within cluster sum of squares. — h2o.tot_withinss

Get the total within cluster sum of squares.

h2o.tot_withinss: Get the total within cluster sum of squares.

Description

Usage

Arguments