Sha256: de99e7c39de5a09770c5359bbc9cf45c07093448d516599e137b41a3a3c3829a

Contents?: true

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Versions: 0

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Compressed size: 635 Bytes

Stored size: 635 Bytes

Contents

--- !ruby/object:Gem::Specification 
name: cabalist
version: !ruby/object:Gem::Version 
  prerelease: 
  version: 0.0.1
platform: ruby
authors: 
- Marcin Wyszynski
autorequire: 
bindir: bin
cert_chain: []

date: 2011-09-04 00:00:00 Z
dependencies: 
- !ruby/object:Gem::Dependency 
  name: ai4r
  prerelease: false
  requirement: &id001 !ruby/object:Gem::Requirement 
    none: false
    requirements: 
    - - ">="
      - !ruby/object:Gem::Version 
        version: "1.10"
  type: :runtime
  version_requirements: *id001
description: 
email: marcin.pixie@gmail.com
executables: []

extensions: []

extra_rdoc_files: []

files: 
- lib/cabalist/manager.rb
- lib/cabalist/object_hooks.rb
- lib/cabalist.rb
homepage: https://github.com/marcinwyszynski/cabalist
licenses: []

post_install_message: 
rdoc_options: []

require_paths: 
- lib
required_ruby_version: !ruby/object:Gem::Requirement 
  none: false
  requirements: 
  - - ">="
    - !ruby/object:Gem::Version 
      version: "0"
required_rubygems_version: !ruby/object:Gem::Requirement 
  none: false
  requirements: 
  - - ">="
    - !ruby/object:Gem::Version 
      version: "0"
requirements: []

rubyforge_project: cabalist
rubygems_version: 1.8.5
signing_key: 
specification_version: 3
summary: Cabalist adds some precognition to your models using machine learning algorithms. It is more or less a  simple, easy to use wrapper around Ai4r - Ruby implementation of AI algorithms.
test_files: []

Package Spec version

cabalist-0.0.1