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SuperGLM
Build
superglm.SuperGLM
family
link
features
penalty
lambda2
selection_penalty
selection_penalty_
distribution_
theta_
Fit
fit
fit_reml
fit_path
refit_unpenalised
estimate_p
estimate_theta
bind_levels
clone_unfitted
Inference
summary
term_inference
simultaneous_bands
random_effects
factor_smooth
metrics
drop1
term_importance
term_drop_diagnostics
knot_summary
design_summary
result
Predict
predict
relativities
reconstruct_feature
Plot
plot
plot_data
plot_diagnostics
Diagnose
diagnostics
spline_redundancy
discretization_impact
iteration_diagnostics
reml_diagnostics
training_telemetry
Constrain shapes
apply_shape_postfit
monotonize
apply_monotone_postfit
Screen interactions
screen_interactions
Deploy
export_rating_tables
rating_table_payload
Results and records
PathResult
REMLResult
LambdaPolicy
warmup
ModelSummary
ModelMetrics
DiscretizationResult
discretization_impact
SuperLSS
Families
GaussianLS
GammaLS
LogNormalLS
NegativeBinomialLS
GeneralizedGammaLSS
GeneralizedParetoLSS
TweedieLSS
TwoPieceLogNormalLSS
TwoPieceNormalLSS
Declarations
BoundPredictor
bind_predictor
term
s
cat
re
ti
interaction
Fit
superglm.SuperLSS
fit
fit_reml
diagnose
predictors
family
FitDiagnosticReport
Inference
summary
term_inference
term_test
parameter_names_
family_
predictors_
coef_
coef_by_predictor_
covariance_
result_
smoothing_parameters_
Predict
predict
predict_parameters
predict_link
predict_cdf
predict_quantile
posterior_predictive
posterior_draws
posterior_bounds
Check the fit
residuals
residual_set
check
check_2d
actual_expected
calibration
scores
compare
Price and portfolio views
risk_curves
density_fan
parameter_spread
portfolio
Plot
plot
plot_data
plot_diagnostics
Smoothing certification and telemetry
smoothing_certified_
smoothing_convergence_reason_
smoothing_unresolved_upper_bound_
exact_face_components_
coefficient_curvature
training_telemetry
Save and load
to_bytes
from_bytes
Configuration
discrete
n_bins
separation
weight_semantics
Features
Spline
PSpline
BSplineSmooth
NaturalSpline
CubicRegressionSpline
PolynomialRange
n_knots_from_k
Categorical
OrderedCategorical
Numeric
Piecewise
Polynomial
FactorSmooth
RandomEffect
LevelGrouping
collapse_levels
Constraint
Families and links
families
Poisson
Gaussian
Gamma
Binomial
NegativeBinomial
Tweedie
LogLink
LogitLink
IdentityLink
ProbitLink
CloglogLink
CauchitLink
InverseLink
InverseSquaredLink
SqrtLink
PowerLink
NegativeBinomialLink
NBProfileResult
TweedieProfileResult
tweedie_logpdf
generate_tweedie_cpg
Penalties
GroupElasticNet
GroupLasso
SparseGroupLasso
Ridge
Adaptive
Inference results
TermInference
InteractionInference
RandomEffectResult
FactorSmoothResult
SplineRedundancyReport
Validation and diagnostics
cross_validate
CrossValidationResult
lorenz_curve
LorenzCurveResult
lift_chart
LiftChartResult
double_lift_chart
DoubleLiftChartResult
loss_ratio_chart
LossRatioChartResult
dispersion_test
DispersionTestResult
score_test_zi
ScoreTestZIResult
zero_inflation_index
ZeroInflationResult
vuong_test
VuongTestResult
Plotting
plot_term_comparison
Export
export_rating_tables
scikit-learn wrappers
SuperGLMRegressor
SuperGLMClassifier
Statistical helpers
psum_chisq
satterthwaite
wood_test_smooth
Model editor
edit
EditorSession
EditableTerm
EditRecord
Warnings and exceptions
PublicationModeError
NearPoissonDispersionError
RatingTableBaseNotRepresentableError
SeparationError
SeparationWarning
NBThetaBoundWarning
FractionalFrequencyWeightWarning
PriorWeightLatticeWarning
Internals
TensorInteraction
SplineCategorical
PolynomialCategorical
NumericCategorical
CategoricalInteraction
NumericInteraction
PolynomialInteraction
BoundTerm
BoundInteraction
Predictor
ConstraintSpec
LinearConstraintSet
MonotoneRepairer
MonotoneRepairResult
SmoothCurve
SplineMetadata
API reference
SuperGLM
Build
features
features
#
property
SuperGLM.
features
:
dict
#
Defensive fitted/configured feature-spec view.
On this page
SuperGLM.features
