PDLA::Reduce -- a
reduce function for PDLA
Many languages have a
reduce function used to reduce the rank of an N-D array by one. It works by applying a selected operation along a specified dimension. This module implements such a function for PDLA by providing a simplified interface to the existing projection functions (e.g.
use PDLA::Reduce; $x = sequence 5,5; # reduce by adding all # elements along 2nd dimension $y = $x->reduce('add',1); @ops = $x->canreduce; # return a list of all allowed operations
reduce dimension of piddle by one by applying an operation along the specified dimension
$x = sequence 5,5; # reduce by adding all # elements along 2nd dimension $y = $x->reduce('add',1); $y = $x->reduce('plus',1); $y = $x->reduce('+',1); # three ways to do the same thing
[ As an aside: if you are familiar with threading you will see that this is actually the same as
$y = $x->mv(1,0)->sumover
NOTE: You should quote the name of the operation (1st arg) that you want
reduce to perform. This is important since some of the names are identical to the names of the actual PDLA functions which might be imported into your namespace. And you definitely want a string as argument, not a function invocation! For example, this will probably fail:
$y = $x->reduce(avg,1); # gives an error from invocation of 'avg'
$y = $x->reduce('avg',1);
reduce provides a simple and unified interface to the projection functions and makes people coming from other data/array languages hopefully feel more at home.
$result = $pdl->reduce($operation [,@dims]);
reduce applies the named operation along the specified dimension(s) reducing the input piddle dimension by as many dimensions as supplied as arguments. If the dimension(s) argument is omitted the operation is applied along the first dimension. To get a list of valid operations see canreduce.
NOTE - new power user feature: you can now supply a code reference as operation to reduce with.
# reduce by summing over dims 0 and 2 $result = $pdl->reduce(\&sumover, 0, 2);
It is your responsibility to ensure that this is indeed a PDLA projection operation that turns vectors into scalars! You have been warned.
return list of valid named
reduce operations Some common operations can be accessed using a number of names, e.g.
plus all sum the elements along the chosen dimension.
@ops = PDLA->canreduce;
This list is useful if you want to make sure which operations can be used with
Copyright (C) 2000 Christian Soeller (email@example.com). All rights reserved. There is no warranty. You are allowed to redistribute this software / documentation under certain conditions. For details, see the file COPYING in the PDLA distribution. If this file is separated from the PDLA distribution, the copyright notice should be included in the file.