public class ModelMetricsRegressionHGLMGeneric extends ModelMetricsRegressionHGLM
ModelMetricsRegression.MetricBuilderRegression<T extends ModelMetricsRegression.MetricBuilderRegression<T>>
ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>>
ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>>
_beta, _icc, _iterations, _log_likelihood, _mse_fixed, _tmat, _ubeta, _var_residual, LOG_2PI
_AIC, _loglikelihood, _mean_absolute_error, _mean_residual_deviance, _root_mean_squared_log_error
_domain, _sigma
_custom_metric, _description, _MSE, _nobs, _scoring_time
Constructor and Description |
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ModelMetricsRegressionHGLMGeneric(Model model,
Frame frame,
long nobs,
double sigma,
double loglikelihood,
CustomMetric customMetric,
int iter,
double[] beta,
double[][] ubeta,
double[][] tmat,
double varResidual,
double mse,
double mse_fixed,
double mae,
double rmsle,
double meanresidualdeviance,
double aic) |
calHGLMllg2, calICC, calInnverV, getFromDKV, llg, toString
aic, computeHuberDelta, loglikelihood, mae, make, make, mean_residual_deviance, residual_deviance, rmsle
r2
appendToStringMetrics, auc_obj, buildKey, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, cm, custom_increasing, custom, deepCloneWithDifferentModelAndFrame, defaultModelMetrics, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, residual_degrees_of_freedom, rmse, setModelKey, sortModelsByMetric, sortModelsByMetric, withDescription, withModelAndFrame
checksum_impl, checksum, checksum, getKey, makeSchema, readAll_impl, readAll, remove_impl, remove_impl, remove_self_key_impl, remove, remove, remove, remove, remove, remove, removeQuietly, writeAll_impl, writeAll
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON
public ModelMetricsRegressionHGLMGeneric(Model model, Frame frame, long nobs, double sigma, double loglikelihood, CustomMetric customMetric, int iter, double[] beta, double[][] ubeta, double[][] tmat, double varResidual, double mse, double mse_fixed, double mae, double rmsle, double meanresidualdeviance, double aic)