scikit-neuralnetwork
stable
sknn.mlp
— Multi-Layer Perceptrons
Installation
Model Setup & Training
Low-Level Configuration
Input / Output
scikit-learn Features
Customizing Learning
scikit-neuralnetwork
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Index
A
|
C
|
F
|
G
|
I
|
L
|
M
|
P
|
R
|
S
A
AutoEncoder (class in sknn.ae)
C
classes_ (sknn.mlp.Classifier attribute)
Classifier (class in sknn.mlp)
Convolution (class in sknn.mlp)
F
fit() (sknn.mlp.Classifier method)
(sknn.mlp.Regressor method)
G
get_parameters() (sknn.mlp.Classifier method)
(sknn.mlp.Regressor method)
I
is_convolution() (sknn.mlp.Classifier method)
(sknn.mlp.Regressor method)
is_initialized (sknn.mlp.Classifier attribute)
(sknn.mlp.Regressor attribute)
L
Layer (class in sknn.ae)
(class in sknn.mlp)
M
MultiLayerPerceptron (class in sknn.mlp)
P
predict() (sknn.mlp.Classifier method)
(sknn.mlp.Regressor method)
predict_proba() (sknn.mlp.Classifier method)
R
Regressor (class in sknn.mlp)
S
set_parameters() (sknn.mlp.Classifier method)
(sknn.mlp.Regressor method)
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