GitHub - PMcInerney/Spatial-Decision-Tree: A spatial classifier

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.idea		.idea
DecisionTree.py		DecisionTree.py
NeighborGraph.py		NeighborGraph.py
NeighborGraphNew.py		NeighborGraphNew.py
NeighborGraphOld.py		NeighborGraphOld.py
RandomGuessLearner.py		RandomGuessLearner.py
SDT.py		SDT.py
SDT.pyc		SDT.pyc
SOLARGenImageList.py		SOLARGenImageList.py
SolarCBIRTools.py		SolarCBIRTools.py
TestTime.py		TestTime.py
TestTimeNeighborhoodSize.py		TestTimeNeighborhoodSize.py
bestSplit.c		bestSplit.c
checkDataDrawCellsOnImages.py		checkDataDrawCellsOnImages.py
checkJuanDataOrientation.py		checkJuanDataOrientation.py
checkResultsVisualize.py		checkResultsVisualize.py
dataCheckingTools.py		dataCheckingTools.py
experimentBuilder.py		experimentBuilder.py
getImages.py		getImages.py
makeARFF.py		makeARFF.py
maskFunctions.py		maskFunctions.py
parseEventData.py		parseEventData.py
parse_results.py		parse_results.py
readData.py		readData.py
read_write_cell_data.py		read_write_cell_data.py
readme.txt		readme.txt
runExperiments.py		runExperiments.py
treeView.py		treeView.py
visualizationTools.py		visualizationTools.py
workspace.py		workspace.py
workspace2.py		workspace2.py
writeData.py		writeData.py

Repository files navigation

How it's organized

what it does
  discussion of how spatial decision trees work
  
Some comments on utility
  Speed may be a concern
  Effort has been made in many places to improve the efficiency, but Python's inherent overhead slows things down,
   as does the fact that the decision trees SDT makes tend to be poorly balanced.