Add python 3.12 | Remove python 3.7 (#15)

* update python versions

* add adapter for minmax scaler to handle list instead of tuple

* upgrade mlblocks

* add dep packages

* fix lint

* remove python 3.13 for now

.github/workflows/docs.yml

@@ -14,7 +14,7 @@ jobs:
     - name: Python
       uses: actions/setup-python@v1
       with:
-        python-version: 3.8
+        python-version: 3.10
 
     - name: Build
       run: |
@@ -25,4 +25,4 @@ jobs:
       uses: peaceiris/actions-gh-pages@v3
       with:
         github_token: ${{secrets.GITHUB_TOKEN}}
-        publish_dir: docs/_build/html
+        publish_dir: docs/_build/html

.github/workflows/tests.yml

@@ -32,7 +32,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest]
     steps:
     - uses: actions/checkout@v1
@@ -50,7 +50,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest, macos-latest]
     steps:
     - uses: actions/checkout@v1
@@ -68,7 +68,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest, macos-latest, windows-latest]
     steps:
     - uses: actions/checkout@v1

README.md

@@ -31,7 +31,7 @@ combine third party tools or implement new functionalities from scratch.
 
 ## Requirements
 
-**ml-stars** has been developed and tested on [Python 3.8, 3.9, 3.10, and 3.11](https://www.python.org/downloads/)
+**ml-stars** has been developed and tested on [Python 3.8, 3.9, 3.10, 3.11, and 3.12](https://www.python.org/downloads/)
 
 Also, although it is not strictly required, the usage of a
 [virtualenv](https://virtualenv.pypa.io/en/latest/) is highly recommended in order to avoid

mlstars/adapters/sklearn.py

@@ -0,0 +1,25 @@
+# -*- coding: utf-8 -*-
+
+from sklearn.preprocessing import MinMaxScaler
+
+
+class Scaler(MinMaxScaler):
+    """sklearn.preprocessing.MinMaxScaler adapter.
+
+    Convert feature_range into a tuple.
+
+    Args:
+        feature_range (list):
+            List of two elements. Desired range of transformed data.
+
+        copy (bool):
+            Set to False to perform inplace row normalization and avoid a copy.
+    """
+
+    def __init__(self, feature_range=(0, 1), copy=True):
+        feature_range = tuple(feature_range)
+
+        super(Scaler, self).__init__(
+            feature_range=feature_range,
+            copy=copy
+        )

mlstars/primitives/sklearn.preprocessing.MinMaxScaler.json

@@ -1,7 +1,8 @@
 {
     "name": "sklearn.preprocessing.MinMaxScaler",
     "contributors": [
-        "Hector Dominguez <[email protected]>"
+        "Hector Dominguez <[email protected]>",
+        "Sarah Alnegheimish <[email protected]>"
     ],
     "documentation": "http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html",
     "description": "Transforms features by scaling each feature to a given range",
@@ -10,7 +11,7 @@
         "subtype": "transformer"
     },
     "modalities": [],
-    "primitive": "sklearn.preprocessing.MinMaxScaler",
+    "primitive": "mlstars.adapters.sklearn.Scaler",
     "fit": {
         "method": "fit",
         "args": [

setup.py

@@ -10,14 +10,14 @@
     history = history_file.read()
 
 install_requires = [
-    'Keras>=2.4,<2.15',
-    'mlblocks>=0.6.1',
+    'Keras>=2.4,<4',
+    'mlblocks>=0.6.2',
     'numpy>=1.17.4,<2',
     'pandas>=1,<3',
-    'scikit-learn>=0.22,<1.2',
+    'scikit-learn>=0.22,<2',
     'scipy>=1.4.1,<2',
     'statsmodels>=0.12.0,<0.15',
-    'tensorflow>=2.2,<2.15',
+    'tensorflow>=2.2,<3',
     'xgboost>=0.72.1,<2',
 
     # fix google/protobuf/descriptor
@@ -38,7 +38,7 @@
     # general
     'bumpversion>=0.5.3,<0.6',
     'pip>=9.0.1',
-    'watchdog>=0.8.3,<0.11',
+    'watchdog>=0.8.3,<7',
 
     # docs
     'docutils>=0.12,<0.18',
@@ -49,6 +49,15 @@
     'markupsafe<2.1.0',
     'ipython>=6.5,<9',
     'Jinja2>=2,<3',
+
+    # fails on Sphinx < v3.4
+    'alabaster<=0.7.12',
+    # fails on Sphins < v5.0
+    'sphinxcontrib-applehelp<1.0.8',
+    'sphinxcontrib-devhelp<1.0.6',
+    'sphinxcontrib-htmlhelp<2.0.5',
+    'sphinxcontrib-serializinghtml<1.1.10',
+    'sphinxcontrib-qthelp<1.0.7',
 
     # style check
     'flake8>=3.7.7,<4',
@@ -82,6 +91,7 @@
         'Programming Language :: Python :: 3.9',
         'Programming Language :: Python :: 3.10',
         'Programming Language :: Python :: 3.11',
+        'Programming Language :: Python :: 3.12',
     ],
     description='Primitives and Pipelines for Time Series Data.',
     entry_points={
@@ -103,7 +113,7 @@
     keywords='mlstars',
     name='ml-stars',
     packages=find_packages(include=['mlstars', 'mlstars.*']),
-    python_requires='>=3.8,<3.12',
+    python_requires='>=3.8,<3.13',
     setup_requires=setup_requires,
     test_suite='tests',
     tests_require=tests_require,

tox.ini

@@ -1,5 +1,5 @@
 [tox]
-envlist = lint, docs, py3{7, 8, 9, 10, 11}-{readme,pytest,minimum,tutorials}
+envlist = lint, docs, py3{8, 9, 10, 11, 12}-{readme,pytest,minimum,tutorials}
 
 [testenv]
 skipsdist = false