AI::XGBoost::Booster - XGBoost main class for training, prediction and evaluation River stage zero No dependents

Booster objects control training, prediction and evaluation Work In Progress, the API may change. Comments and suggestions are welcome!...

PABLROD/AI-XGBoost-0.11 - 20 Aug 2017 20:56:55 UTC

AI::Prolog::TermList - Create lists of Prolog Terms. River stage one • 2 direct dependents • 2 total dependents

See AI::Prolog for more information. If you must know more, there are plenty of comments sprinkled through the code....

DOUGW/AI-Prolog-0.741 - 26 Mar 2011 19:56:21 UTC

AI::NNFlex::Backprop - a fast, pure perl backprop Neural Net simulator River stage zero No dependents

AI::NNFlex::Backprop is a class to generate feedforward, backpropagation neural nets. It inherits various constructs from AI::NNFlex & AI::NNFlex::Feedforward, but is documented here as a standalone. The code should be simple enough to use for teachi...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNFlex::Hopfield - a fast, pure perl Hopfield network simulator River stage zero No dependents

AI::NNFlex::Hopfield is a Hopfield network simulator derived from the AI::NNFlex class. THIS IS THE FIRST ALPHA CUT OF THIS MODULE! Any problems, let me know and I'll fix them. Hopfield networks differ from feedforward networks in that they are effec...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::MXNet::TestUtils - Convenience subs used in tests. River stage one • 2 direct dependents • 2 total dependents

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::MXNet::Module::Base - Base class for AI::MXNet::Module and AI::MXNet::Module::Bucketing River stage one • 2 direct dependents • 2 total dependents

The base class of a modules. A module represents a computation component. The design purpose of a module is that it abstract a computation "machine", that one can run forward, backward, update parameters, etc. We aim to make the APIs easy to use, esp...

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::NeuralNet::Simple - An easy to use backprop neural net. River stage zero No dependents

The Disclaimer Please note that the following information is terribly incomplete. That's deliberate. Anyone familiar with neural networks is going to laugh themselves silly at how simplistic the following information is and the astute reader will not...

OVID/AI-NeuralNet-Simple-0.11 - 18 Nov 2006 15:53:01 UTC

AI::MaxEntropy::Model - Perl extension for using Maximum Entropy Models River stage zero No dependents

This module manipulates models learnt by AI::MaxEntropy. For details about Maximum Entropy learner, please refer to AI::MaxEntropy....

LAYE/AI-MaxEntropy-0.20 - 06 Mar 2008 12:31:26 UTC

TAEB::AI::SteadyState - Sit there doing nothing, for benchmarking purposes River stage zero No dependents

SARTAK/TAEB-0.03 - 14 Mar 2009 15:25:11 UTC

Games::Risk::AI::Dumb - dumb ai that does nothing River stage one • 3 direct dependents • 3 total dependents

This module implements a dumb ai for risk, that does nothing. It just piles up new armies randomly, and never ever attacks nor move armies....

JQUELIN/Games-Risk-4.000 - 04 Apr 2014 13:13:31 UTC

AI::Prolog::Term::Cut - Perl implementation of the Prolog cut operator. River stage one • 2 direct dependents • 2 total dependents

See AI::Prolog for more information. If you must know more, there are plenty of comments sprinkled through the code....

DOUGW/AI-Prolog-0.741 - 26 Mar 2011 19:56:21 UTC

AI::NNFlex::Reinforce - A very simple experimental NN module River stage zero No dependents

Reinforce is a very simple NN module. It's mainly included in this distribution to provide an example of how to subclass AI::NNFlex to write your own NN modules. The training method strengthens any connections that are active during the run pass....

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::MXNet::Visualization - Vizualization support for Perl interface to MXNet machine learning library River stage one • 2 direct dependents • 2 total dependents

Vizualization support for Perl interface to MXNet machine learning library...

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::NeuralNet::Kohonen - Kohonen's Self-organising Maps River stage zero No dependents

An illustrative implimentation of Kohonen's Self-organising Feature Maps (SOMs) in Perl. It's not fast - it's illustrative. In fact, it's slow: but it is illustrative.... Have a look at AI::NeuralNet::Kohonen::Demo::RGB for an example of visualisatio...

LGODDARD/AI-NeuralNet-Kohonen-0.142 - 08 Aug 2006 13:58:55 UTC

AI::XGBoost::CAPI::RAW - Perl wrapper for XGBoost C API https://github.com/dmlc/xgboost River stage zero No dependents

Wrapper for the C API. The doc for the methods is extracted from doxygen comments: https://github.com/dmlc/xgboost/blob/master/include/xgboost/c_api.h...

PABLROD/AI-XGBoost-0.11 - 20 Aug 2017 20:56:55 UTC

AI::NeuralNet::FastSOM - Perl extension for fast Kohonen Maps River stage zero No dependents

A drop-in replacement for Robert Barta's AI::NeuralNet::SOM. See those docs for details....

JRM/AI-NeuralNet-FastSOM-0.19 - 03 Dec 2016 19:54:12 UTC

AI::MXNet::Gluon::Loss - Base class for loss. River stage one • 2 direct dependents • 2 total dependents

Calculates the mean squared error between output and label: Output and label can have arbitrary shape as long as they have the same number of elements. Parameters ---------- weight : float or None Global scalar weight for loss. sample_weight : Symbol...

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::Pathfinding::AStar - Perl implementation of the A* pathfinding algorithm River stage zero No dependents

This module implements the A* pathfinding algorithm. It acts as a base class from which a custom map object can be derived. It requires from the map object a subroutine named "getSurrounding" (described below) and provides to the object two routines ...

ACDALTON/AI-Pathfinding-AStar-0.10 - 17 Jun 2007 20:13:04 UTC

AI::FreeHAL::Config - Load and save configuration files in a standard format River stage zero No dependents

This module implements yet another damn configuration-file system. The configuration language is deliberately simple and limited, and the module works hard to preserve as much information (section order, comments, etc.) as possible when a configurati...

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

AI::Genetic::Individual - Base class for AI::Genetic Individuals. River stage zero No dependents

This package implements the base class for all AI::Genetic individuals. It provides basic methods required by AI::Genetic for correct evolution. Furthermore, it can be very easily used as a base class for additional types of individuals. AI::Genetic ...

AQUMSIEH/AI-Genetic-0.05 - 11 May 2007 17:51:29 UTC
358 results (0.02 seconds)