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

@@ -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")