This code is the one used to generate results presented in the paper Cost-Aware Early Classification of Time Series. When using this code, please cite:
@InProceedings{costaware2016,
authors={Romain Tavenard and Simon Malinowski},
title={Cost-Aware Early Classification of Time Series},
booktitle={European Conference on Machine Learning and Principles and Practice of Knowledge Discovery},
pages = {632-647},
year={2016}
}
For this code to run properly, the following python packages should be installed:
numpy
scipy
sklearn
Also, if one wants to run experiments on the UCR dataset, she should download it from
here and paste it (preserving its subfolder structure) to datasets/ucr.
To run the baseline on dataset FISH with
SOURCEDIR=/path/to/the/base/dir/of/the/project/
WORKINGDIR=${SOURCEDIR}/classification/
EXECUTABLE=${SOURCEDIR}/classification/baseline_ucr.py
export PYTHONPATH="${PYTHONPATH}:${SOURCEDIR}"
cd ${WORKINGDIR}
python ${EXECUTABLE} FISH 0.001To run the 2Step method on dataset FISH with
SOURCEDIR=/path/to/the/base/dir/of/the/project/
WORKINGDIR=${SOURCEDIR}/classification/
EXECUTABLE=${SOURCEDIR}/classification/2step_classif_ucr.py
export PYTHONPATH="${PYTHONPATH}:${SOURCEDIR}"
cd ${WORKINGDIR}
python ${EXECUTABLE} FISH 0.001To run the NoCluster method on dataset FISH with
SOURCEDIR=/path/to/the/base/dir/of/the/project/
WORKINGDIR=${SOURCEDIR}/classification/
EXECUTABLE=${SOURCEDIR}/classification/nocluster_ucr.py
export PYTHONPATH="${PYTHONPATH}:${SOURCEDIR}"
cd ${WORKINGDIR}
python ${EXECUTABLE} FISH 0.001