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| -rw-r--r-- | gnu/packages/machine-learning.scm | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 755fe08b33..5b98705943 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -1489,6 +1489,73 @@ number of threads used in the threadpool-backed of common native libraries used for scientific computing and data science (e.g. BLAS and OpenMP).") (license license:bsd-3))) +(define-public python-tslearn + (package + (name "python-tslearn") + (version "0.6.1") + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/tslearn-team/tslearn") + (commit (string-append "v" version)))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "1fhs8c28hdqsyj8kdhzrmrxrh4w92x6nf3gm026xapp9divvljd6")))) + (build-system pyproject-build-system) + (arguments + (list + #:test-flags + '(list "-k" + (string-append + ;; This one fails because of a difference in accuracy. + "not test_all_estimators[LearningShapelets-LearningShapelets]" + ;; XXX: It's embarrassing to disable these two, but the truth is + ;; that there's only so much we can do to force this package to + ;; work with Tensorflow 1.9. It's still worth having this + ;; package, because it can be used without the Tensorflow + ;; backend. + ;; TypeError: cannot pickle '_thread.RLock' object + " and not test_shapelets" + ;; TypeError: Expected binary or unicode string, got 2 + " and not test_serialize_shapelets")) + #:phases + '(modify-phases %standard-phases + (add-after 'unpack 'compatibility + (lambda _ + (substitute* "tslearn/tests/sklearn_patches.py" + (("_pairwise_estimator_convert_X") + "_enforce_estimator_tags_X") + (("pairwise_estimator_convert_X\\(([^,]+), ([^,\\)]+)" _ a b) + (string-append "pairwise_estimator_convert_X(" b ", " a))) + (substitute* "tslearn/tests/test_shapelets.py" + (("tf.optimizers.Adam") + "tf.keras.optimizers.Adam")) + (substitute* "tslearn/shapelets/shapelets.py" + (("tf.keras.utils.set_random_seed") + "tf.set_random_seed") + (("def __call__\\(self, shape, dtype=None\\):") + "def __call__(self, shape, dtype=None, partition_info=None):") + (("tf.math.is_finite") + "tf.is_finite"))))))) + (propagated-inputs (list python-cesium + python-h5py + python-joblib + python-numba + python-numpy + python-pandas + python-scipy + python-scikit-learn + tensorflow + python-wheel)) + (native-inputs (list python-pytest)) + (home-page "https://github.com/tslearn-team/tslearn") + (synopsis "Machine learning toolkit for time series data") + (description "This is a Python library for time series data mining. +It provides tools for time series classification, clustering +and forecasting.") + (license license:bsd-2))) + (define-public python-imbalanced-learn (package (name "python-imbalanced-learn") |