public class CoxPHModelOutputV3 extends ModelOutputSchemaV3
| Modifier and Type | Field and Description |
|---|---|
TwoDimTableV3 |
coefficientsTable
Table of Coefficients
|
double[] |
cumhaz0
baseline cumulative hazard
|
java.lang.String |
formula
formula
|
int |
iter
number of iterations
|
double |
loglik
log-likelihood
|
double |
loglikTest
log-likelihood test stat
|
double |
lre
log relative error
|
double |
maxrsq
Maximum R-square
|
double[] |
meanOffset
unweighted mean vector for numeric offsets
|
long |
n
n
|
double[] |
nCensor
number of censored obs
|
double[] |
nEvent
number of events
|
long |
nMissing
number of rows with missing values
|
double[] |
nRisk
number at risk
|
double |
nullLoglik
null log-likelihood
|
java.lang.String[] |
offsetNames
names of offsets
|
double |
rsq
R-square
|
double |
scoreTest
Score test stat
|
CoxPHTies |
ties
ties
|
double[] |
time
time
|
long |
totalEvent
total events
|
double[][] |
varCoef
var(coefficients)
|
double[] |
varCumhaz1
component of var(cumhaz)
|
FrameKeyV3 |
varCumhaz2
component of var(cumhaz)
|
double |
waldTest
Wald test stat
|
double[][] |
xMeanCat
x weighted mean vector for categorical variables
|
double[][] |
xMeanNum
x weighted mean vector for numeric variables
|
columnTypes, crossValidationFoldAssignmentFrameId, crossValidationHoldoutPredictionsFrameId, crossValidationMetrics, crossValidationMetricsSummary, crossValidationModels, crossValidationPredictions, defaultThreshold, domains, endTime, help, modelCategory, modelSummary, names, originalNames, reproducibilityInformationTable, runTime, scoringHistory, startTime, status, trainingMetrics, validationMetrics| Constructor and Description |
|---|
CoxPHModelOutputV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
@SerializedName(value="coefficients_table") public TwoDimTableV3 coefficientsTable
@SerializedName(value="var_coef") public double[][] varCoef
@SerializedName(value="null_loglik") public double nullLoglik
public double loglik
@SerializedName(value="loglik_test") public double loglikTest
@SerializedName(value="wald_test") public double waldTest
@SerializedName(value="score_test") public double scoreTest
public double rsq
public double maxrsq
public double lre
public int iter
@SerializedName(value="x_mean_cat") public double[][] xMeanCat
@SerializedName(value="x_mean_num") public double[][] xMeanNum
@SerializedName(value="mean_offset") public double[] meanOffset
@SerializedName(value="offset_names") public java.lang.String[] offsetNames
public long n
@SerializedName(value="n_missing") public long nMissing
@SerializedName(value="total_event") public long totalEvent
public double[] time
@SerializedName(value="n_risk") public double[] nRisk
@SerializedName(value="n_event") public double[] nEvent
@SerializedName(value="n_censor") public double[] nCensor
@SerializedName(value="cumhaz_0") public double[] cumhaz0
@SerializedName(value="var_cumhaz_1") public double[] varCumhaz1
@SerializedName(value="var_cumhaz_2") public FrameKeyV3 varCumhaz2
public java.lang.String formula
public CoxPHTies ties
public java.lang.String toString()
toString in class ModelOutputSchemaV3