MachineLearning 1.03
- Released by
- BFITCH
- Version
- Release Date
- 2009-08-31
- Kwalitee
- 137.5
- Core Kwalitee
- 87.5
- LINKS
MachineLearning 1.03 Deleted
Kwalitee Issues
- has_manifest
-
Add a MANIFEST to the distribution. Your buildtool should be able to autogenerate it (eg "make manifest" or "./Build manifest")
- has_meta_yml
-
Add a META.yml to the distribution. Your buildtool should be able to autogenerate it.
- has_buildtool
-
Add a Makefile.PL (for ExtUtils::MakeMaker/Module::Install) or a Build.PL (for Module::Build and its friends), or use a distribution builder such as Dist::Zilla, Dist::Milla, Minilla.
- manifest_matches_dist
-
Run a proper command ("make manifest" or "./Build manifest", maybe with a force option), or use a distribution builder to generate the MANIFEST. Or update MANIFEST manually.
Error: Cannot find MANIFEST in dist.
- has_meta_json
-
Add a META.json to the distribution. Your buildtool should be able to autogenerate it.
- meta_yml_has_license
-
Define the license if you are using in Build.PL. If you are using MakeMaker (Makefile.PL) you should upgrade to ExtUtils::MakeMaker version 6.31.
- no_unauthorized_packages
-
Ask the owner of the distribution (the one who released it first, or the one who is designated in x_authority) to give you a (co-)maintainer's permission.
Error:
- Node
- Tree
- has_separate_license_file
-
This is not a critical issue. Currently mainly informative for the CPANTS authors. It might be removed later.
- has_security_doc
-
Add SECURITY(.pod|md). See Software::Security::Policy.
- security_doc_contains_contact
-
Add SECURITY(.pod|md) and add a contact address. See Software::Security::Policy.
- has_contributing_doc
-
Add CONTRIBUTING(.pod|md). See https://docs.github.com/en/communities/setting-up-your-project-for-healthy-contributions/setting-guidelines-for-repository-contributors.
Modules
| Name | Abstract | Version | View |
|---|---|---|---|
| MachineLearning | base class for MachineLearning objects | 1.03 | metacpan |
| MachineLearning::DecisionTrees | create, test, print out, store, and employ decision trees | 1.03 | metacpan |
| MachineLearning::IntegerAnnealing | optimize a list of integers according to a cost function | 1.03 | metacpan |
| MachineLearning::NeuralNetwork | create, train, test, resize, store, and run a neural network | 1.03 | metacpan |
| MachineLearning::SimulatedAnnealing | optimize a list of numbers according to a cost function | 1.03 | metacpan |