Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset

Source: R/coxph.R

Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset

h2o.coxph(x, event_column, training_frame, model_id = NULL,
  start_column = NULL, stop_column = NULL, weights_column = NULL,
  offset_column = NULL, stratify_by = NULL, ties = c("efron",
  "breslow"), init = 0, lre_min = 9, max_iterations = 20,
  interactions = NULL, interaction_pairs = NULL,
  interactions_only = NULL, use_all_factor_levels = FALSE,
  export_checkpoints_dir = NULL)

Arguments

x

(Optional) A vector containing the names or indices of the predictor variables to use in building the model. If x is missing, then all columns except event_column, start_column and stop_column are used.
event_column

The name of binary data column in the training frame indicating the occurrence of an event.
training_frame

Id of the training data frame.
model_id

Destination id for this model; auto-generated if not specified.
start_column

Start Time Column.
stop_column

Stop Time Column.
weights_column

Column with observation weights. Giving some observation a weight of zero is equivalent to excluding it from the dataset; giving an observation a relative weight of 2 is equivalent to repeating that row twice. Negative weights are not allowed. Note: Weights are per-row observation weights and do not increase the size of the data frame. This is typically the number of times a row is repeated, but non-integer values are supported as well. During training, rows with higher weights matter more, due to the larger loss function pre-factor.
offset_column

Offset column. This will be added to the combination of columns before applying the link function.
stratify_by

List of columns to use for stratification.
ties

Method for Handling Ties. Must be one of: "efron", "breslow". Defaults to efron.
init

Coefficient starting value. Defaults to 0.
lre_min

Minimum log-relative error. Defaults to 9.
max_iterations

Maximum number of iterations. Defaults to 20.
interactions

A list of predictor column indices to interact. All pairwise combinations will be computed for the list.
interaction_pairs

A list of pairwise (first order) column interactions.
interactions_only

A list of columns that should only be used to create interactions but should not itself participate in model training.
use_all_factor_levels

Logical. (Internal. For development only!) Indicates whether to use all factor levels. Defaults to FALSE.
export_checkpoints_dir

Automatically export generated models to this directory.