Homemade Deep Learning Library

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Documentation for package ‘modello’ version 0.1.1

• DESCRIPTION file.

Help Pages

A B C D E G I L M N P R S T misc

-- A --

abs.modello_number	Number Abs
adam.opt	Create Adam optmiser

-- B --

bin.entropy	Binary Entropy
bin.entropy.default	Binary Entropy
bin.entropy.modello_number	Binary Entropy
bind	Bind
bind.list	Bind
bind.modello_number	Bind

-- C --

cos.modello_number	Number Cosine
cosh.modello_number	Number CosH
cross.entropy	Cross-entropy
cross.entropy.default	Cross-entropy
cross.entropy.modello_number	Cross-entropy

-- D --

DataLoader.CSV	R6 class representing a cluster LaF csv data loaders
DataLoader.Seq	R6 class representign a data loader for sequence datasets.
DataSet.Array	R6 class representing an array dataset
DataSet.CSV	R6 class representing a LaF csv data loader
DataSet.Seq	R6 class representign a dataset of sequences to feed RNN
dfun	Finite Differences
dfun.array	Finite Differences
dfun.numeric	Finite Differences
dim.modello_number	Get Number Shape

-- E --

embeddings	Embeddings
exp.modello_number	Number Exponential

-- G --

gemm	Genral Matrix Multiplication
gemv	Genral Matrix-Vector Multiplication
ger	Genral Vector Outer Product
graph.close	Close Graph
graph.open	Open Graph

-- I --

invMat	Number Inverse Matrix
invMat.matrix	Number Inverse Matrix
invMat.modello_number	Number Inverse Matrix
is.graph	Is Graph
is.number	Is Number
is.opt	Is Optimiser

-- L --

ldbeta	Beta Distribution: log-density
ldbeta.default	Beta Distribution: log-density
ldbeta.modello_number	Beta Distribution: log-density
ldexp	Exponential Distribution: log-density
ldexp.default	Exponential Distribution: log-density
ldexp.modello_number	Exponential Distribution: log-density
ldgamma	Gamma Distribution: log-density
ldgamma.default	Gamma Distribution: log-density
ldgamma.modello_number	Gamma Distribution: log-density
ldlaplace	Laplace Distribution: log-density
ldlaplace.modello_number	Laplace Distribution: log-density
ldmvnorm	Multivariante Normal: log-density
ldnorm	Normal Distribution: log-density
ldnorm.default	Normal Distribution: log-density
ldnorm.modello_number	Normal Distribution: log-density
length.modello_number	Number Length
lkh.norm	Weighted Normal Likelihood for Independent Variables
log.modello_number	Number Log

-- M --

mae	Mean Absolute Error
mae.default	Mean Absolute Error
mae.modello_number	Mean Absolute Error
modello	modello: A package for creating computational graphs.
modello.close	Close Modello Session
modello.gc	Modello Session Garbage Collector
modello.init	Initialise Modello Session
modello.is.init	Modello Is Initialised
modello.reset	Reset Modello Session
module	R6 class representing a module
module.fc	R6 class representing a fully connected layer.
module.lm	R6 class representing a linear model.
module.logistic	R6 class representing a logistic regression model.
module.LSTM	R6 class representing an LSTM.
module.LstmUnit	R6 class representing the recurrent layer of a LSTM network
module.RecUnit	R6 class representing the recurrent layer of a Elmam or Jordan recurrent neural network
module.RNN	R6 class representing an RNN.
module.softmax	R6 class representing a softmax regression model.
module_from_RDS	Load Module from RDS
mse	Mean Squared Error
mse.default	Mean Squared Error
mse.modello_number	Mean Squared Error

-- N --

number	Create New Number
number.array	Create New Number
number.integer	Create New Number
number.numeric	Create New Number
number_from_list	Number from Collected List
number_from_RDS	Load Number from RDS

-- P --

pop	Pop Modello Objects
pop.graph	Pop Modello Objects
pop.modello_number	Pop Modello Objects

-- R --

relu	ReLU
relu.default	ReLU
relu.modello_number	ReLU

-- S --

sgd.opt	Create SGD optimiser
sgdwm.opt	Create SGDWM optmiser
sigmoid	Sigmoid
sigmoid.default	Sigmoid
sigmoid.modello_number	Sigmoid
sin.modello_number	Number Sin
sinh.modello_number	Number SinH
softmax	Number Softmax
softmax.matrix	Number Softmax
softmax.modello_number	Number Softmax
softmax.numeric	Number Softmax
ssq	Sum of Squares
ssq.default	Sum of Squares
ssq.modello_number	Sum of Squares
sum.modello_number	Sum
swish	Number Swish
swish.default	Number Swish
swish.modello_number	Number Swish

-- T --

tan.modello_number	Number Tan
tanh.modello_number	Number TanH

-- misc --

%.%	Matrix - Matrix Multiplication
%.T%	Matrix - Matrix Traspose Multiplication
%T.%	Matrix Transpose - Matrix Multiplication
%T.T%	Matrix Traspose - Matrix Traspose Multiplication
**.modello_number	Number Power
*.modello_number	Number Multiplication
+.modello_number	Number Addition
-.modello_number	Number Subtraction
.adam.opt	Root R6 class representing a generic 'optmiser'
.graph	R6 class representing a computational graph
.ids	Get IDs
.k	Create constnat scalar number
.modello	Object containing the corrent session.
.modello.session	R6 class representing the current modello session
.number	Number Legnth
.opt	Root R6 class representing a generic 'optmiser'
.sgd.opt	Root R6 class representing a generic 'optmiser'
.sgdwm.opt	Root R6 class representing a generic 'optmiser'
/.modello_number	Number Division
[.modello_number	Silce Numbers
[<-.modello_number	Sets the value of a slice in a 'number'
^.modello_number	Number Power