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impulse-ts
Dataset/Dataset
Dataset
Class Dataset
Hierarchy
Dataset
Index
Constructors
constructor
Properties
data
example
Size
number
Of
Examples
Methods
example
At
get
Batch
get
Example
Size
get
Number
Of
Examples
from
Matrix
Constructors
constructor
new
Dataset
(
exampleSize
?:
number
, numberOfExamples
?:
number
, arr
?:
string
[]
[]
|
number
[]
[]
)
:
Dataset
Parameters
exampleSize:
number
= null
numberOfExamples:
number
= null
arr:
string
[]
[]
|
number
[]
[]
= null
Returns
Dataset
Properties
data
data
:
Matrix
= null
example
Size
example
Size
:
number
= 0
number
Of
Examples
number
Of
Examples
:
number
= 0
Methods
example
At
example
At
(
index
:
number
)
:
Matrix
Parameters
index:
number
Returns
Matrix
get
Batch
get
Batch
(
offset
:
number
, batchSize
:
number
)
:
Dataset
Parameters
offset:
number
batchSize:
number
Returns
Dataset
get
Example
Size
get
Example
Size
(
)
:
number
Returns
number
get
Number
Of
Examples
get
Number
Of
Examples
(
)
:
number
Returns
number
Static
from
Matrix
from
Matrix
(
m
:
Matrix
)
:
Dataset
Parameters
m:
Matrix
Returns
Dataset
Modules
Computation
Computation/
Abstract
Computation
Computation/
ComputationCPU
Computation/
ComputationGPU
Computation/utils
Dataset
Dataset/
Dataset
Dataset/
Dataset
Modifier
Dataset/
Dataset
Modifier/
Abstract
Dataset
Modifier
Dataset/
Dataset
Modifier/
Callback
Dataset/
Dataset
Modifier/
Min
Max
Scaling
Dataset/
Dataset
Modifier/
Missing
Data
Dataset
Builder
Dataset
Builder/
Dataset
Builder
Dataset
Builder/
Dataset
Builder
Source
Dataset
Builder/
Dataset
Builder
Source/
Abstract
Document
Builder
Source
Dataset
Builder/
Dataset
Builder
Source/
Dataset
Builder
SourceCSV
Layer
Layer/
Abstract
Layer
Layer/
Abstract
Layer1D
Layer/
Abstract
Layer3D
Layer/
Backpropagation
Layer/
Backpropagation/
Abstract
Backpropagation
Layer/
Backpropagation/
Backpropagation1
Dto1D
Layer/
Backpropagation/
Backpropagation3
Dto1D
Layer/
Backpropagation/
Backpropagation
Factory
Layer/
Backpropagation/
Backpropagation
To
Conv
Layer/
Backpropagation/
Backpropagation
To
Max
Pool
Layer/
Conv
Layer/
Fully
Connected
Layer/
Logistic
Layer/
Max
Pool
Layer/
Purelin
Layer/
Relu
Layer/
Softmax
Layer/
Softplus
Layer/
Tanh
Math/
Matrix
Math/math
Network/
Network
Network
Builder
Network
Builder/
Abstract
Network
Builder
Network
Builder/
Network
Builder1D
Network
Builder/
Network
Builder3D
Network
Builder/types
Trainer
Trainer/
Abstract
Trainer
Trainer/
Mini
Batch
Trainer
Trainer/
Optimizer
Trainer/
Optimizer/
Abstract
Optimizer
Trainer/
Optimizer/
Optimizer
Adagrad
Trainer/
Optimizer/
Optimizer
Adam
Trainer/
Optimizer/
Optimizer
Gradient
Descent
main
types
Dataset
constructor
data
example
Size
number
Of
Examples
example
At
get
Batch
get
Example
Size
get
Number
Of
Examples
from
Matrix
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