msitrees
latest
Installation guide
Examples
API docs
msitrees
Docs
»
Index
Edit on GitHub
Index
E
|
F
|
G
|
I
|
M
|
N
|
P
|
R
|
S
E
estimators (msitrees.ensemble.MSIRandomForestClassifier attribute)
F
feature_importances_() (msitrees.ensemble.MSIRandomForestClassifier property)
(msitrees.tree.MSIDecisionTreeClassifier property)
fit() (msitrees.ensemble.MSIRandomForestClassifier method)
(msitrees.tree.MSIDecisionTreeClassifier method)
fitted (msitrees.ensemble.MSIRandomForestClassifier attribute)
(msitrees.tree.MSIDecisionTreeClassifier attribute)
G
get_depth() (msitrees.tree.MSIDecisionTreeClassifier method)
get_n_leaves() (msitrees.tree.MSIDecisionTreeClassifier method)
get_params() (msitrees.ensemble.MSIRandomForestClassifier method)
(msitrees.tree.MSIDecisionTreeClassifier method)
I
importances (msitrees.ensemble.MSIRandomForestClassifier attribute)
(msitrees.tree.MSIDecisionTreeClassifier attribute)
M
module
msitrees.ensemble
msitrees.tree
MSIDecisionTreeClassifier (class in msitrees.tree)
MSIRandomForestClassifier (class in msitrees.ensemble)
msitrees.ensemble
module
msitrees.tree
module
N
ncls (msitrees.ensemble.MSIRandomForestClassifier attribute)
(msitrees.tree.MSIDecisionTreeClassifier attribute)
ndim (msitrees.ensemble.MSIRandomForestClassifier attribute)
(msitrees.tree.MSIDecisionTreeClassifier attribute)
P
predict() (msitrees.ensemble.MSIRandomForestClassifier method)
(msitrees.tree.MSIDecisionTreeClassifier method)
predict_log_proba() (msitrees.ensemble.MSIRandomForestClassifier method)
(msitrees.tree.MSIDecisionTreeClassifier method)
predict_proba() (msitrees.ensemble.MSIRandomForestClassifier method)
(msitrees.tree.MSIDecisionTreeClassifier method)
R
root (msitrees.tree.MSIDecisionTreeClassifier attribute)
S
score() (msitrees.ensemble.MSIRandomForestClassifier method)
(msitrees.tree.MSIDecisionTreeClassifier method)
set_params() (msitrees.ensemble.MSIRandomForestClassifier method)
(msitrees.tree.MSIDecisionTreeClassifier method)
shape (msitrees.ensemble.MSIRandomForestClassifier attribute)
(msitrees.tree.MSIDecisionTreeClassifier attribute)