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Author:
Francesco Spinnato, Cristiano Landi
Summary:
Irregular time series in Python: datasets, classifiers and benchmarks (ICLR 2026)
Latest version:
0.4.0
Required dependencies:
h5py
|
numba
|
numpy
|
pandas
|
pooch
|
pyarrow
|
pyyaml
|
scikit-learn
|
sparse
|
tqdm
|
xarray
Optional dependencies:
aeon
|
black
|
diffrax
|
equinox
|
fast-borf
|
ipykernel
|
jax
|
lightgbm
|
mypy
|
myst-parser
|
nbconvert
|
nbsphinx
|
notebook
|
optax
|
pre-commit
|
pypots
|
pytest
|
pytest-cov
|
sktime
|
snowballstemmer
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-rtd-theme
|
sphinxcontrib-napoleon
|
tslearn
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