Table of Contents - machine_learning_workbench-0.8.0 Documentation
Classes and Modules
Methods
-
::display
—
MachineLearningWorkbench::Tools::Imaging
-
::feature_scaling
—
MachineLearningWorkbench::Tools::Normalization
-
::in_fork
—
MachineLearningWorkbench::Tools::Execution
-
::in_fork
—
MachineLearningWorkbench::Tools::Execution
-
::kill_forks
—
MachineLearningWorkbench::Tools::Execution
-
::kill_forks
—
MachineLearningWorkbench::Tools::Execution
-
::narr_from_png
—
MachineLearningWorkbench::Tools::Imaging
-
::narr_to_img
—
MachineLearningWorkbench::Tools::Imaging
-
::narr_to_png
—
MachineLearningWorkbench::Tools::Imaging
-
::new
—
MachineLearningWorkbench::Compressor::CopyVQ
-
::new
—
MachineLearningWorkbench::Compressor::DecayingLearningRateVQ
-
::new
—
MachineLearningWorkbench::Compressor::IncrDictVQ
-
::new
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
::new
—
MachineLearningWorkbench::NeuralNetwork::Base
-
::new
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
::new
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
::new
—
MachineLearningWorkbench::Tools::Logging::LogSplitter
-
::restore_streams
—
MachineLearningWorkbench::Tools::Logging
-
::split_to
—
MachineLearningWorkbench::Tools::Logging
-
::z_score
—
MachineLearningWorkbench::Tools::Normalization
-
#activate
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#activate_layer
—
MachineLearningWorkbench::NeuralNetwork::FeedForward
-
#activate_layer
—
MachineLearningWorkbench::NeuralNetwork::Recurrent
-
#approximates?
—
MachineLearningWorkbench::Monkey::NumericallyApproximatable
-
#approximates?
—
MachineLearningWorkbench::Monkey::NArrayApproximatable
-
#check_lrate
—
MachineLearningWorkbench::Compressor::CopyVQ
-
#check_lrate
—
MachineLearningWorkbench::Compressor::DecayingLearningRateVQ
-
#check_lrate
—
MachineLearningWorkbench::Compressor::IncrDictVQ
-
#check_lrate
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#cmaes_lrate
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#cmaes_popsize
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#cmaes_utilities
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#code_size
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#convergence
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
#convergence
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::RNES
-
#convergence
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::SNES
-
#convergence
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::XNES
-
#deep_reset
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#dims
—
MachineLearningWorkbench::Monkey::Dimensionable
-
#encode
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#exponential
—
MachineLearningWorkbench::Monkey::Exponentiable
-
#init_centrs
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#init_random
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#initialize_distribution
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::RNES
-
#initialize_distribution
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::SNES
-
#initialize_distribution
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::XNES
-
#invert
—
MachineLearningWorkbench::Monkey::Invertable
-
#layer_col_sizes
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#layer_row_sizes
—
MachineLearningWorkbench::NeuralNetwork::FeedForward
-
#layer_row_sizes
—
MachineLearningWorkbench::NeuralNetwork::Recurrent
-
#layer_shapes
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#lecun_hyperbolic
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#load
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
#load
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::RNES
-
#load
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::SNES
-
#load
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::XNES
-
#load_weights
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#logistic
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#lrate
—
MachineLearningWorkbench::Compressor::DecayingLearningRateVQ
-
#lrate
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#map
—
MachineLearningWorkbench::Monkey::Mappable
-
#most_similar_centr
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#move_inds
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#mu
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
#ncentrs
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#new
—
MachineLearningWorkbench::Monkey::Buildable
-
#new_centr
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#nlayers
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#nneurs
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#ntrains
—
MachineLearningWorkbench::Compressor::CopyVQ
-
#ntrains_skip
—
MachineLearningWorkbench::Compressor::CopyVQ
-
#nweights
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#nweights_per_layer
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#out
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#outer_flat
—
MachineLearningWorkbench::Monkey::NArrayOuterFlattable
-
#popsize
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#reconstr_error
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#reconstruction
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#relu
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#reset_state
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#save
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
#save
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::RNES
-
#save
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::SNES
-
#save
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::XNES
-
#sigma
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
#sigmoid
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#similarities
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#sorted_inds
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#sorted_inds_lst
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
#standard_normal_sample
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#standard_normal_samples
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#to_na
—
MachineLearningWorkbench::Monkey::ToNArrayConvertible
-
#train
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#train
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::BDNES
-
#train
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::FNES
-
#train
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::RNES
-
#train
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::SNES
-
#train
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::XNES
-
#train_one
—
MachineLearningWorkbench::Compressor::CopyVQ
-
#train_one
—
MachineLearningWorkbench::Compressor::DecayingLearningRateVQ
-
#train_one
—
MachineLearningWorkbench::Compressor::IncrDictVQ
-
#train_one
—
MachineLearningWorkbench::Compressor::VectorQuantization
-
#utils
—
MachineLearningWorkbench::Optimizer::NaturalEvolutionStrategies::Base
-
#weights
—
MachineLearningWorkbench::NeuralNetwork::Base
-
#write
—
MachineLearningWorkbench::Tools::Logging::LogSplitter