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Machine Learning Algorithms & Pipelines #2

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6 of 13 tasks
KMouratidis opened this issue Apr 3, 2019 · 0 comments
Open
6 of 13 tasks

Machine Learning Algorithms & Pipelines #2

KMouratidis opened this issue Apr 3, 2019 · 0 comments
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@KMouratidis
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enhancement New feature or request good first issue Good for newcomers

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KMouratidis commented Apr 3, 2019 •
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  1. Add more algorithms:
  • sklearn (46 so far)
  • statsmodels
  • tensorflow / pytorch
  • NLP models (nltk, gensim, spacy, etc)
  1. Implement common pipelines, e.g.:
  • Imputation -> Standardization -> Feature extraction -> Training
  • Voting Classifiers, ensembles & other aggregators
  • Cross-validation, (hyper-)parameter tuning
  • Dimensionality reduction
  1. Graphical model designer
  • Basic layout
  • Basic conversion to sklearn.pipeline.Pipeline
  • Redefine edges, restyle arrows
  • Advanced functionality
  • Handle order better
@KMouratidis KMouratidis added enhancement New feature or request good first issue Good for newcomers labels Apr 3, 2019
@KMouratidis KMouratidis self-assigned this Apr 3, 2019
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