Index

A

absolute_error() (in module nnlearn.metrics)

accuracy_score() (in module nnlearn.metrics)

C

CriterionFunctionNotFound

cross_entropy_score() (in module nnlearn.metrics)

D

DecisionTree (class in nnlearn.tree)

DecisionTreeClassifier (class in nnlearn.tree) DimensionMismatchError

E

entropy_score() (in module nnlearn.metrics)

error_rate() (in module nnlearn.metrics)

F

feature (nnlearn.tree.Node attribute)

FeatureNotImplemented fit() (nnlearn.tree.DecisionTreeClassifier method)

G

gini_score() (in module nnlearn.metrics)

I

information_gain_score() (in module nnlearn.metrics)

is_leaf_node() (nnlearn.tree.Node method)

L

left (nnlearn.tree.Node attribute)

load_iris() (in module nnlearn.datasets)

M

mean_absolute_error() (in module nnlearn.metrics) mean_cross_entropy_score() (in module nnlearn.metrics) mean_squared_error() (in module nnlearn.metrics) module nnlearn.datasets nnlearn.exceptions nnlearn.metrics nnlearn.tree

N

nnlearn.datasets module nnlearn.exceptions module

nnlearn.metrics module nnlearn.tree module Node (class in nnlearn.tree)

P

predict() (nnlearn.tree.DecisionTreeClassifier method)

R

right (nnlearn.tree.Node attribute)

S

split() (nnlearn.tree.Node method)

T

threshold (nnlearn.tree.Node attribute)