From 1f3c72ef411a17693a18c85c398de7e7829c3818 Mon Sep 17 00:00:00 2001
From: alberta <adrien.albert@unige.ch>
Date: Tue, 23 Jan 2024 17:11:48 +0100
Subject: [PATCH] adding easyconfigs: sktime-0.25.0-gfbf-2023a.eb

---
 .../s/sktime/sktime-0.25.0-gfbf-2023a.eb      | 36 +++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 easybuild/easyconfigs/s/sktime/sktime-0.25.0-gfbf-2023a.eb

diff --git a/easybuild/easyconfigs/s/sktime/sktime-0.25.0-gfbf-2023a.eb b/easybuild/easyconfigs/s/sktime/sktime-0.25.0-gfbf-2023a.eb
new file mode 100644
index 00000000000..b5e07a105c3
--- /dev/null
+++ b/easybuild/easyconfigs/s/sktime/sktime-0.25.0-gfbf-2023a.eb
@@ -0,0 +1,36 @@
+easyblock = 'PythonBundle'
+
+name = 'sktime'
+version = '0.25.0'
+homepage = 'https://www.sktime.net/en/stable/'
+description = """sktime is a library for time series analysis in Python.
+It provides a unified interface for multiple time series learning tasks.
+Currently, this includes time series classification, regression, clustering,
+annotation, and forecasting. It comes with time series algorithms and 
+scikit-learn compatible tools to build, tune and validate time series models."""
+
+toolchain = {'name': 'gfbf', 'version': '2023a'}
+
+
+dependencies = [
+    ('Python', '3.11.3'),
+    ('SciPy-bundle', '2023.07'),
+    ('scikit-learn', '1.3.1')
+]
+
+
+exts_list = [
+    ('scikit-base', '0.6.2', {
+        'modulename': 'skbase',
+        'checksums': ['ac7c1dd9b1006e1e466d8269074f7fb02b7f5143c615f7fdf6a1e0c7565431fe'],
+    }),
+    (name, version, {
+        'checksums': ['b687d44608e5d2fd6b3c631b2608f4cf7bc581e22c1131ac78d59cea7687b589'],
+    }),
+]
+
+download_dep_fail = True
+use_pip = True
+sanity_pip_check = True
+
+moduleclass = 'data'