Index

A

add_reg_f() (dask_glm.regularizers.Regularizer method) add_reg_grad() (dask_glm.regularizers.Regularizer method)

add_reg_hessian() (dask_glm.regularizers.Regularizer method) admm() (in module dask_glm.algorithms)

C

compute_stepsize_dask() (in module dask_glm.algorithms)

D

dask_glm.algorithms (module) dask_glm.estimators (module)

dask_glm.families (module) dask_glm.regularizers (module)

E

ElasticNet (class in dask_glm.regularizers)

F

f() (dask_glm.regularizers.Regularizer method)

G

get() (dask_glm.regularizers.Regularizer class method) gradient() (dask_glm.families.Logistic static method) (dask_glm.regularizers.Regularizer method)

gradient_descent() (in module dask_glm.algorithms)

H

hessian() (dask_glm.families.Logistic static method) (dask_glm.regularizers.Regularizer method)

L

L1 (class in dask_glm.regularizers) L2 (class in dask_glm.regularizers) lbfgs() (in module dask_glm.algorithms)

LinearRegression (class in dask_glm.estimators) Logistic (class in dask_glm.families) LogisticRegression (class in dask_glm.estimators) loglike() (dask_glm.families.Logistic static method)

N

newton() (in module dask_glm.algorithms)

Normal (class in dask_glm.families)

P

pointwise_gradient() (dask_glm.families.Logistic static method) pointwise_loss() (dask_glm.families.Logistic static method) Poisson (class in dask_glm.families)

PoissonRegression (class in dask_glm.estimators) proximal_grad() (in module dask_glm.algorithms) proximal_operator() (dask_glm.regularizers.ElasticNet method) (dask_glm.regularizers.Regularizer method)

R

Regularizer (class in dask_glm.regularizers)