h2o.logloss

a <a href="/link/?package=h2o&version=3.24.0.5" h2omodelmetrics'="" data-mini-rdoc="h2o::"></a>'>H2OModelMetrics object of the correct type.

object

train

valid

Retrieve the cross-validation Log Loss

xval

Retrieves the log loss output for a <a href="/link/?package=h2o&version=3.24.0.5" h2obinomialmetrics'="" data-mini-rdoc="h2o::"></a>'>H2OBinomialMetrics or
<a href="/link/?package=h2o&version=3.24.0.5" h2omultinomialmetrics'="" data-mini-rdoc="h2o::"></a>'>H2OMultinomialMetrics object
If "train", "valid", and "xval" parameters are FALSE (default), then the training Log Loss value is returned. If more
than one parameter is set to TRUE, then a named vector of Log Losses 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 'H2O'

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.logloss function

a <a href='<a href='H2OModelMetrics'></a>'>H2OModelMetrics</a> object of the correct type.

Retrieves the log loss output for a <a href='<a href='H2OBinomialMetrics'></a>'>H2OBinomialMetrics</a> or
<a href='<a href='H2OMultinomialMetrics'></a>'>H2OMultinomialMetrics</a> object
If "train", "valid", and "xval" parameters are FALSE (default), then the training Log Loss value is returned. If more
than one parameter is set to TRUE, then a named vector of Log Losses are returned, where the names are "train", "valid"
or "xval".

Retrieve the Log Loss Value — h2o.logloss

Retrieve the Log Loss Value

h2o.logloss: Retrieve the Log Loss Value

Description

Usage

Arguments