AutoMLPipeline.jl
AutoMLPipeline.jl copied to clipboard
IBM
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
I apologize but I am new to Julia. i am trying to perform recursive feature elimination (RFE) in a pipeline: ada = Adaboost() disc = CatNumDiscriminator() pt = PrunedTree() rfe=SKPreprocessor("RFE",Dict(:estimator=>ada));...
- use distributed or juliafolds - use multithreading - https://github.com/baggepinnen/Hyperopt.jl
- ohe only works for small size categories and not scalable for larger number of categories. - use word2vec and make each vector element as feature during transform
As discussed I want to add the plotting feature in the pipeline so that whenever we need we can visualize the data.
