start_column
¶
- Available in: CoxPH
- Hyperparameter: no
Description¶
This option is used to specify the name of an integer column in the source data set representing the start time. If supplied, then the value of the start_column must be strictly less than the stop_column in each row.
Example¶
library(h2o)
h2o.init()
# import the heart dataset
heart <- h2o.importFile("http://s3.amazonaws.com/h2o-public-test-data/smalldata/coxph_test/heart.csv")
# set the predictor name and response column
x <- "age"
y <- "event"
# set the start and stop columns
start <- "start"
stop <- "stop"
# train your model
coxph.h2o <- h2o.coxph(x=x, event_column=y,
start_column=start, stop_column=stop,
training_frame=heart.hex)
# view the model details
coxph.h2o
Model Details:
==============
H2OCoxPHModel: coxph
Model ID: CoxPH_model_R_1527700369755_2
Call:
"Surv(start, stop, event) ~ age"
coef exp(coef) se(coef) z p
age 0.0307 1.0312 0.0143 2.15 0.031
Likelihood ratio test=5.17 on 1 df, p=0.023
n= 172, number of events= 75