restructured project & fixed imports

Author: reichmla

lsp/__init__.py

@@ -0,0 +1,8 @@
+"""
+pyLSP.
+
+pyLSP is a lightweight implementation of the Least Square Projection (LSP) dimensionality reduction technique using a sklearn style API.
+"""
+
+__version__ = "0.0.3"
+__author__ = 'Luca Reichmann'

lsp_python/__init__.py

@@ -1,7 +1,7 @@
 import numpy as np
 
 from sklearn.neighbors import NearestNeighbors
-from lsp.mds import MDS
+from lsp_python.mds import MDS
 
 
 

lsp/lsp.py renamed to lsp_python/lsp.py

@@ -0,0 +1,24 @@
+from setuptools import setup
+
+from pathlib import Path
+this_directory = Path(__file__).parent
+long_description = (this_directory / "README.md").read_text()
+
+setup(
+    name='lsp-python',
+    version='0.0.3.post1',
+    description='lsp-python is a lightweight implementation of the Least Square Projection (LSP) dimensionality reduction technique using a sklearn style API.',
+    long_description=long_description,
+    long_description_content_type='text/markdown',
+    url='https://github.com/lvcarx/pyLSP',
+    author='Luca Reichmann',
+    author_email='[email protected]',
+    license='MIT',
+    packages=['lsp_python'],
+    install_requires=['numpy',
+                      'scikit-learn',
+                      'matplotlib'],
+    classifiers=[
+        'Programming Language :: Python :: 3.11',
+    ],
+)

lsp/mds.py renamed to lsp_python/mds.py

@@ -4,7 +4,7 @@
 from sklearn import datasets
 from sklearn.utils import shuffle
 from sklearn.preprocessing import MinMaxScaler
-from lsp.lsp import LSP
+from lsp_python.lsp import LSP
 
 if __name__ == '__main__':
     digits = datasets.load_digits()

setup.py

@@ -4,7 +4,7 @@
 from sklearn import datasets
 from sklearn.utils import shuffle
 from sklearn.preprocessing import MinMaxScaler
-from lsp.lsp import LSP
+from lsp_python.lsp import LSP
 
 if __name__ == '__main__':
     iris = datasets.load_iris()