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Initial Release: Base data structures and ML wrappers
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@ppalmes ppalmes released this 29 Mar 22:07
· 663 commits to master since this release
v1.0.0
620e592
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Learn about vigilant mode.
  • Transformer - abstract class with fit and transform interfaces to be overloaded
  • TSLearner <: Transformer - learners for classification/prediction with fit function for training and transform for prediction
  • Baseline <: TSLearner - returns the mode for classification and usually provides the worst case result
  • CaretLearner <: TSLearner - API wrapper to expose caret regression/classification libs
  • SKLearner <: TSLearner - API wrapper to expose scikitlearn regression/classification libs
    Identity <: Transformer - identity learner (returns mirror image)
  • Imputer <: Transformer - removes missing values
  • Pipeline <: Transformer - iteratively calls fit! and transform! to the set of transformers in the workflow
  • DateValizer <: Transformer - replace missings with medians grouped by datetime period
  • DateValgator <: Transformer - Aggregate values grouped by datetime period
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