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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.

Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.

Generate strings supplying a simple pattern. Perfect to be used in test data factories. Validate if a text fulfills a specific pattern. Also you can use regular expressions (Regexp) to generate strings: `/[a-z0-9]{2,5}\w+/.gen`. Generate words in English or Spanish.

  • ruby
  • ruby-gem
  • string
  • pattern