Functions and Formulas  

Layers  

Layers

accumulatedstates

Accumulates the state flags of all cells in a tensor

Object accumulatedstates(Collection x)

Parameters
x : is the input tensor

count

Returns the number of cells in a tensor

Object count(Collection x, Collection cmp=nothing)

Parameters
x : is the tensor to count
cmp : value to compare the cells

countinrange

Returns the number of values within a given range.

Object countinrange(Collection x, Collection min, Collection max)

Parameters
x : is the container for which you want to count the values.
min : is the lower boundary of the range. The lower boundary is not included in the range.
max : is the upper boundary of the range. The upper boundary is included in the range.

extend

expands the dimension of the given object by 1

Object extend(Collection src, Collection dim, integer lev=""leafLevel"")

Parameters
src : is the soruce object with dimension n
dim : is the dimension to add
lev :

identicalrowscols

detects identical rows or columns in a matrix or tensor.

Object identicalrowscols(Collection x)

Parameters
x : is the matrix or tensor to be checked

reduce

reduces the dimension of the given object by 1

Object reduce(Collection src, Object dim, integer mode=""reduce_to_median"")

Parameters
src : is the soruce object with dimension n
dim : is the dimension to remove
mode :

slice

Returns a section of a n-dimensional tensor with a dimension of n-1, e.g. a column of a matrix.

Object slice(Collection src, Object key, Object header=nothing, Object scope=nothing)

Parameters
src : is the tensor
key : is the name of the selected element, e.g. the name of a column
header : optional: the tree that contains the header elements.
scope :

subset

Returns a part of a given source object, specified by a level descriptor for each dimension.

Object subset(Collection src, Object level=nothing)

Parameters
src : is the source object
level : level descriptor (numeric, name of a item type or a vector)

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