hex.coxph

Class CoxPHModel

java.lang.Object

water.Iced

water.Keyed

water.Lockable<M>

hex.Model<M,P,O>

hex.SupervisedModel<CoxPHModel,CoxPHModel.CoxPHParameters,CoxPHModel.CoxPHOutput>

hex.coxph.CoxPHModel

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

public class CoxPHModel
extends hex.SupervisedModel<CoxPHModel,CoxPHModel.CoxPHParameters,CoxPHModel.CoxPHOutput>

The Deep Learning model It contains a DeepLearningModelInfo with the most up-to-date model, a scoring history, as well as some helpers to indicate the progress

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CoxPHModel.CoxPHOutput
static class	CoxPHModel.CoxPHParameters

Nested classes/interfaces inherited from class hex.SupervisedModel

hex.SupervisedModel.SupervisedOutput, hex.SupervisedModel.SupervisedParameters

Nested classes/interfaces inherited from class hex.Model

hex.Model.ModelCategory, hex.Model.Output, hex.Model.Parameters

Field Summary

Fields inherited from class hex.Model

_output, _parms, _warnings, training_duration_in_ms, training_start_time

Fields inherited from class water.Lockable

_lockers

Fields inherited from class water.Keyed

_key

Constructor Summary

Constructors

Constructor and Description
CoxPHModel(water.Key destKey, CoxPHModel.CoxPHParameters parms, CoxPHModel.CoxPHOutput output)

Method Summary

Methods

Modifier and Type	Method and Description
CoxPHModel.CoxPHParameters	get_params()
water.api.ModelSchema	schema()
float[]	score0(double[] data, float[] preds) Predict from raw double values representing the data
java.lang.String	toString()
java.lang.String	toStringAll()

Methods inherited from class hex.SupervisedModel

calcError, isSupervised, score0

Methods inherited from class hex.Model

adapt, adapt, adapt, addWarning, checksum, computeModelMetrics, getDomainMapping, getDomainMapping, missingColumnsType, remove_impl, score, score, score, score, score, score, start_training, start_training, stop_training

Methods inherited from class water.Lockable

delete_and_lock, delete, delete, delete, read_lock, read_lock, unlock_all, unlock, update, write_lock

Methods inherited from class water.Keyed

remove, remove, remove, remove

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

CoxPHModel

public CoxPHModel(water.Key destKey,
          CoxPHModel.CoxPHParameters parms,
          CoxPHModel.CoxPHOutput output)

Method Detail

schema

public water.api.ModelSchema schema()

Specified by:

schema in class hex.Model<CoxPHModel,CoxPHModel.CoxPHParameters,CoxPHModel.CoxPHOutput>

get_params

public final CoxPHModel.CoxPHParameters get_params()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

toStringAll

public java.lang.String toStringAll()

score0

public float[] score0(double[] data,
             float[] preds)

Predict from raw double values representing the data

Specified by:

score0 in class hex.Model<CoxPHModel,CoxPHModel.CoxPHParameters,CoxPHModel.CoxPHOutput>

Parameters:

data - raw array containing categorical values (horizontalized to 1,0,0,1,0,0 etc.) and numerical values (0.35,1.24,5.3234,etc), both can contain NaNs

preds - predicted label and per-class probabilities (for classification), predicted target (regression), can contain NaNs

Returns:

preds, can contain NaNs