Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
X
_
__call__() (epistasis.mapping.Orders method)
__new__() (epistasis.models.base.AbstractModel static method)
A
AbstractModel (class in epistasis.models.base)
add_gpm() (epistasis.models.base.AbstractModel method)
add_X() (epistasis.models.base.AbstractModel method)
aic() (in module epistasis.stats)
arghandler() (in module epistasis.models.utils)
assert_epistasis() (in module epistasis.mapping)
B
BaseModel (class in epistasis.models.base)
BayesianSampler (class in epistasis.sampling.bayesian)
build() (epistasis.simulate.linear.LinearSimulation method)
C
chi_squared() (in module epistasis.stats)
compression_ratio() (epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ridge.EpistasisRidge method)
D
df (epistasis.mapping.Orders attribute)
E
encode_vectors() (in module epistasis.matrix)
epistasis.mapping (module)
epistasis.matrix (module)
epistasis.models.base (module)
epistasis.models.linear.elastic_net (module)
epistasis.models.linear.lasso (module)
epistasis.models.linear.ordinary (module)
epistasis.models.linear.ridge (module)
epistasis.models.utils (module)
epistasis.pyplot.coefs (module)
epistasis.pyplot.nonlinear (module)
epistasis.sampling.bayesian (module)
epistasis.simulate.linear (module)
epistasis.stats (module)
EpistasisElasticNet (class in epistasis.models.linear.elastic_net)
EpistasisLasso (class in epistasis.models.linear.lasso)
EpistasisLinearRegression (class in epistasis.models.linear.ordinary)
EpistasisMap (class in epistasis.mapping)
EpistasisRidge (class in epistasis.models.linear.ridge)
explained_variance() (in module epistasis.stats)
F
false_negative_rate() (in module epistasis.stats)
false_positive_rate() (in module epistasis.stats)
fit() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
fit_transform() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
FittingError
G
generalized_r2() (in module epistasis.stats)
genotype_coeffs() (in module epistasis.mapping)
get_initial_walkers() (epistasis.sampling.bayesian.BayesianSampler method)
get_model_matrix() (in module epistasis.matrix)
get_orders() (epistasis.mapping.EpistasisMap method)
get_pandas_matrix() (in module epistasis.matrix)
gmean() (in module epistasis.stats)
gpm (epistasis.models.base.AbstractModel attribute)
H
hypothesis() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
hypothesis_transform() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
I
incremental_mean() (in module epistasis.stats)
incremental_std() (in module epistasis.stats)
incremental_var() (in module epistasis.stats)
index (epistasis.mapping.EpistasisMap attribute)
(epistasis.mapping.Orders attribute)
K
key_to_site() (in module epistasis.mapping)
L
LinearSimulation (class in epistasis.simulate.linear)
lnlike_of_data() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
lnlike_transform() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
lnlikelihood() (epistasis.models.base.AbstractModel method)
lnprior() (epistasis.sampling.bayesian.BayesianSampler static method)
lnprob() (epistasis.sampling.bayesian.BayesianSampler static method)
M
map() (epistasis.mapping.EpistasisMap method)
model_type (epistasis.mapping.EpistasisMap attribute)
mutations_to_sites() (in module epistasis.mapping)
N
n (epistasis.mapping.EpistasisMap attribute)
num_of_params (epistasis.models.base.AbstractModel attribute)
(epistasis.models.linear.elastic_net.EpistasisElasticNet attribute)
(epistasis.models.linear.lasso.EpistasisLasso attribute)
(epistasis.models.linear.ordinary.EpistasisLinearRegression attribute)
(epistasis.models.linear.ridge.EpistasisRidge attribute)
O
order (epistasis.mapping.EpistasisMap attribute)
Orders (class in epistasis.mapping)
P
pearson() (in module epistasis.stats)
plot_coefs() (in module epistasis.pyplot.coefs)
plot_power_transform() (in module epistasis.pyplot.nonlinear)
plot_scale() (in module epistasis.pyplot.nonlinear)
predict() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
predict_transform() (epistasis.models.base.AbstractModel method)
(epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
R
read_dataframe() (epistasis.mapping.EpistasisMap class method)
rmsd() (in module epistasis.stats)
S
sample() (epistasis.sampling.bayesian.BayesianSampler method)
score() (epistasis.models.linear.elastic_net.EpistasisElasticNet method)
(epistasis.models.linear.lasso.EpistasisLasso method)
(epistasis.models.linear.ordinary.EpistasisLinearRegression method)
(epistasis.models.linear.ridge.EpistasisRidge method)
site_to_key() (in module epistasis.mapping)
sites (epistasis.mapping.EpistasisMap attribute)
(epistasis.mapping.Orders attribute)
split_data() (in module epistasis.stats)
split_gpm() (in module epistasis.stats)
ss_residuals() (in module epistasis.stats)
SubclassException
T
thetas (epistasis.models.linear.elastic_net.EpistasisElasticNet attribute)
(epistasis.models.linear.lasso.EpistasisLasso attribute)
(epistasis.models.linear.ordinary.EpistasisLinearRegression attribute)
(epistasis.models.linear.ridge.EpistasisRidge attribute)
to_csv() (epistasis.mapping.EpistasisMap method)
to_dict() (epistasis.mapping.EpistasisMap method)
to_excel() (epistasis.mapping.EpistasisMap method)
U
use_sklearn() (in module epistasis.models.base)
V
values (epistasis.mapping.EpistasisMap attribute)
(epistasis.mapping.Orders attribute)
X
XMatrixException
epistasis
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