scikit-neuralnetwork
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  • sknn.mlp — Multi-Layer Perceptrons
  • Installation
  • Model Setup & Training
  • Low-Level Configuration
  • Input / Output
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  • Customizing Learning
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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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