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Installation

  • Installation from pypi
  • Installation from sources

API Reference

  • Datasets
  • Feature Extraction
  • Preprocessing
  • Itemsets
  • Periodic
  • Emerging
  • Base
  • Callback API
  • Graphs

Tutorials

  • Fetch FIMI datasets
  • Generate synthetic transactional data
  • Linear time Closed item set Miner
  • SLIM for market basket analysis
  • Classification examples with SLIM
  • Callback API demo
  • GraphMDL for graph pattern mining
  • Periodic pattern mining, an example with Canadian TV programs
  • References

About

  • Compatibility with Scikit-Learn
  • Contributing
  • Inclusion criteria
  • Development process
  • History
scikit-mine
  • »
  • Overview: module code

All modules for which code is available

  • skmine.base
  • skmine.callbacks
  • skmine.datasets._base
  • skmine.datasets._samples_generator
  • skmine.datasets.fimi
  • skmine.datasets.periodic
  • skmine.datasets.utils
  • skmine.emerging.mbdldorber
  • skmine.feature_extraction.slim_vectorizer
  • skmine.graph.graphmdl.graph_mdl
  • skmine.itemsets.lcm
  • skmine.itemsets.slim
  • skmine.itemsets.slim_classifier
  • skmine.periodic.cycles
  • skmine.preprocessing.mdlp_discretizer

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