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
»
<no title>
View page source
Linear time Closed item set Miner
load the chess dataset
fit_discover()
SLIM for market basket analysis
Classification examples with SLIM
SLIM Classifier for binary and multiclass classification (k>=2)
SLIM classifier from numerical dataset
Preprocessing
In pipelines :
OneVsRest classifier for more than 2 classes
First “predictions”
Built-in interpretations
Shortest code wins !!
Questions on binary OneVsRest classifier