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branch master updated: gnu: Remove python-tslearn.
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guix-commits |
Subject: |
branch master updated: gnu: Remove python-tslearn. |
Date: |
Mon, 15 Jan 2024 17:36:24 -0500 |
This is an automated email from the git hooks/post-receive script.
rekado pushed a commit to branch master
in repository guix.
The following commit(s) were added to refs/heads/master by this push:
new 287dee537b gnu: Remove python-tslearn.
287dee537b is described below
commit 287dee537bf719f3543f932eb8f3610cac630374
Author: Ricardo Wurmus <rekado@elephly.net>
AuthorDate: Mon Jan 15 23:35:25 2024 +0100
gnu: Remove python-tslearn.
This package now lives in the guix-science channel.
* gnu/packages/machine-learning.scm (python-tslearn): Remove variable.
Change-Id: I655df3417d258cb1231746626817fde9628e9569
---
gnu/packages/machine-learning.scm | 67 ---------------------------------------
1 file changed, 67 deletions(-)
diff --git a/gnu/packages/machine-learning.scm
b/gnu/packages/machine-learning.scm
index 1616738399..9e65084f34 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -1776,73 +1776,6 @@ 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 "0.6.2")
- (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
- "0l9l21jy78mhajdfwyx8rskw08597vg55ff22bjkv6xrjjr9g4ac"))))
- (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")
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