pyGAM
0.5.5
Contents:
Getting Started with
pyGAM
API
pyGAM
Docs
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Index
Index
A
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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O
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P
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S
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V
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W
A
Accuracy (class in pygam.callbacks)
accuracy() (pygam.pygam.LogisticGAM method)
B
BinomialDist (class in pygam.distributions)
C
CallBack (class in pygam.callbacks)
circular() (in module pygam.penalties)
Coef (class in pygam.callbacks)
coef_ (pygam.pygam.ExpectileGAM attribute)
(pygam.pygam.GAM attribute)
(pygam.pygam.GammaGAM attribute)
(pygam.pygam.InvGaussGAM attribute)
(pygam.pygam.LinearGAM attribute)
(pygam.pygam.LogisticGAM attribute)
(pygam.pygam.PoissonGAM attribute)
concave() (in module pygam.penalties)
confidence_intervals() (pygam.pygam.GAM method)
convex() (in module pygam.penalties)
convexity_() (in module pygam.penalties)
D
derivative() (in module pygam.penalties)
Deviance (class in pygam.callbacks)
deviance() (pygam.distributions.BinomialDist method)
(pygam.distributions.GammaDist method)
(pygam.distributions.InvGaussDist method)
(pygam.distributions.NormalDist method)
(pygam.distributions.PoissonDist method)
deviance_residuals() (pygam.pygam.GAM method)
Diffs (class in pygam.callbacks)
Distribution (class in pygam.distributions)
divide_weights() (in module pygam.distributions)
E
ExpectileGAM (class in pygam.pygam)
F
fit() (pygam.pygam.GAM method)
(pygam.pygam.PoissonGAM method)
fit_quantile() (pygam.pygam.ExpectileGAM method)
G
GAM (class in pygam.pygam)
GammaDist (class in pygam.distributions)
GammaGAM (class in pygam.pygam)
generate_X_grid() (pygam.pygam.GAM method)
gradient() (pygam.links.IdentityLink method)
(pygam.links.InvSquaredLink method)
(pygam.links.LogLink method)
(pygam.links.LogitLink method)
gridsearch() (pygam.pygam.GAM method)
(pygam.pygam.PoissonGAM method)
I
IdentityLink (class in pygam.links)
InvGaussDist (class in pygam.distributions)
InvGaussGAM (class in pygam.pygam)
InvSquaredLink (class in pygam.links)
L
l2() (in module pygam.penalties)
LinearGAM (class in pygam.pygam)
Link (class in pygam.links)
link() (pygam.links.IdentityLink method)
(pygam.links.InvSquaredLink method)
(pygam.links.LogLink method)
(pygam.links.LogitLink method)
log_pdf() (pygam.distributions.BinomialDist method)
(pygam.distributions.GammaDist method)
(pygam.distributions.InvGaussDist method)
(pygam.distributions.NormalDist method)
(pygam.distributions.PoissonDist method)
LogisticGAM (class in pygam.pygam)
LogitLink (class in pygam.links)
loglikelihood() (pygam.pygam.GAM method)
(pygam.pygam.PoissonGAM method)
LogLink (class in pygam.links)
logs_ (pygam.pygam.ExpectileGAM attribute)
(pygam.pygam.GAM attribute)
(pygam.pygam.GammaGAM attribute)
(pygam.pygam.InvGaussGAM attribute)
(pygam.pygam.LinearGAM attribute)
(pygam.pygam.LogisticGAM attribute)
(pygam.pygam.PoissonGAM attribute)
M
monotonic_dec() (in module pygam.penalties)
monotonic_inc() (in module pygam.penalties)
monotonicity_() (in module pygam.penalties)
mu() (pygam.links.IdentityLink method)
(pygam.links.InvSquaredLink method)
(pygam.links.LogLink method)
(pygam.links.LogitLink method)
multiply_weights() (in module pygam.distributions)
N
none() (in module pygam.penalties)
NormalDist (class in pygam.distributions)
O
on_loop_end() (pygam.callbacks.Diffs method)
on_loop_start() (pygam.callbacks.Accuracy method)
(pygam.callbacks.Coef method)
(pygam.callbacks.Deviance method)
P
partial_dependence() (pygam.pygam.GAM method)
phi() (pygam.distributions.Distribution method)
PoissonDist (class in pygam.distributions)
PoissonGAM (class in pygam.pygam)
predict() (pygam.pygam.GAM method)
(pygam.pygam.LogisticGAM method)
(pygam.pygam.PoissonGAM method)
predict_mu() (pygam.pygam.GAM method)
predict_proba() (pygam.pygam.LogisticGAM method)
prediction_intervals() (pygam.pygam.LinearGAM method)
pygam.distributions (module)
pygam.penalties (module)
S
sample() (pygam.distributions.BinomialDist method)
(pygam.distributions.Distribution method)
(pygam.distributions.GammaDist method)
(pygam.distributions.InvGaussDist method)
(pygam.distributions.NormalDist method)
(pygam.distributions.PoissonDist method)
(pygam.pygam.GAM method)
sparse_diff() (in module pygam.penalties)
statistics_ (pygam.pygam.ExpectileGAM attribute)
(pygam.pygam.GAM attribute)
(pygam.pygam.GammaGAM attribute)
(pygam.pygam.InvGaussGAM attribute)
(pygam.pygam.LinearGAM attribute)
(pygam.pygam.LogisticGAM attribute)
(pygam.pygam.PoissonGAM attribute)
summary() (pygam.pygam.GAM method)
V
V() (pygam.distributions.BinomialDist method)
(pygam.distributions.GammaDist method)
(pygam.distributions.InvGaussDist method)
(pygam.distributions.NormalDist method)
(pygam.distributions.PoissonDist method)
validate_callback() (in module pygam.callbacks)
validate_callback_data() (in module pygam.callbacks)
W
wrap_penalty() (in module pygam.penalties)