Ensemble Learning and Correntropy
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  • Installation
  • Tutorial
  • Models
  • Methods Combiner or Mixing Models
  • Layers
  • Metrics
  • Diversity
  • Utils Functions
  • Serializable
Ensemble Learning and Correntropy
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  • Welcome to Ensemble Learning and Correntropy’s documentation!
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Welcome to Ensemble Learning and Correntropy’s documentation!¶

User Guide¶

  • Installation
    • Prerequisites
    • Development installation
    • GPU support
  • Tutorial
    • Building the model

API Reference¶

  • Models
    • Base class Model
    • Ensemble Model
    • Sequential Model
    • Wrapper Model
  • Methods Combiner or Mixing Models
    • Base Class Combiner
    • Methods Combiner Regression
    • Methods Combiner Classification
  • Layers
    • Dense Layer
    • Convolutional Layers
    • Pool Layers
    • Dropout Layer
    • Recurrent Layers
    • Utils Layers
  • Metrics
    • Base Class Metrics
    • Classifier Metrics
    • Regression Metrics
  • Diversity
    • Utils
    • Pairwise metrics
    • Non Pairwise metrics
  • Utils Functions
    • Cost Functions
    • Cost Function for Ensemble Models
    • Regularizer Functions
    • Update Functions
    • Score Functions
    • Logger
    • Utils Classifiers
    • Utils Data Bases
    • Utils Functions
    • Utils Models
    • Utils Testing
  • Serializable

Indices and tables¶

  • Index
  • Module Index
  • Search Page
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© Copyright 2016, Pablo Saavedra Doren. Revision 83a0a9b6.

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