update setup.py

Author: oaksharks

README.md

@@ -1,5 +1,5 @@
 <p align="center">
-<img src="docs/source/images/Hypernets.png" width="500" >
+<img src="https://raw.githubusercontent.com/DataCanvasIO/Hypernets/master/docs/source/images/Hypernets.png" width="500" >
 
 
 [![Python Versions](https://img.shields.io/pypi/pyversions/hypernets.svg)](https://pypi.org/project/hypernets)
@@ -19,12 +19,12 @@ We introduced an abstract search space representation, taking into account the r
 ## Overview
 ### Conceptual Model
 <p align="center">
-<img src="docs/source/images/hypernets_conceptual_model.png" width="100%"/>
+<img src="https://raw.githubusercontent.com/DataCanvasIO/Hypernets/master/docs/source/images/hypernets_conceptual_model.png" width="100%"/>
 </p>
 
 ### Illustration of the Search Space 
 <p align="center">
-<img src="docs/source/images/hypernets_search_space.png" width="100%"/>
+<img src="https://raw.githubusercontent.com/DataCanvasIO/Hypernets/master/docs/source/images/hypernets_search_space.png" width="100%"/>
 </p>
 
 ## What's NEW !
@@ -107,7 +107,7 @@ python -m hypernets.examples.smoke_testing
 * [Cooka](https://github.com/DataCanvasIO/Cooka): Lightweight interactive AutoML system.
 
 
-![DataCanvas AutoML Toolkit](docs/source/images/DAT_logo.png)
+![DataCanvas AutoML Toolkit](https://raw.githubusercontent.com/DataCanvasIO/Hypernets/master/docs/source/images/DAT_logo.png)
 
 ## Citation
 

hypernets/tests/experiment/experiment_factory.py

@@ -11,7 +11,7 @@
 
 
 def _create_experiment(predefined_kwargs, maker=None, need_test=False, user_kwargs=None):
-    df = dsutils.load_boston()
+    df = dsutils.load_boston().head(1000)
     df['Constant'] = [0 for i in range(df.shape[0])]
     df['Id'] = [i for i in range(df.shape[0])]
     target = 'target'

setup.py

@@ -41,27 +41,32 @@ def read_extra_requirements():
     return extra
 
 
-def read_description(file_path='README.md',
-                     image_root=f'{home_url}/raw/main'):
-    import re
-    import os
-
-    def _encode_image(m):
-        assert len(m.groups()) == 3
-
-        pre, src, post = m.groups()
-        src = src.rstrip().lstrip()
-        remote_src = os.path.join(image_root, os.path.relpath(src))
-        return f'{pre}{remote_src}{post}'
-
-    desc = open(file_path, encoding='utf-8').read()
-
-    # substitute html image
-    desc = re.sub(r'(<img\s+src\s*=\s*\")(docs/source/images/[^"]+)(\")', _encode_image, desc)
-
-    # substitute markdown image
-    desc = re.sub(r'(\!\[.*\]\()(docs/source/images/.+)(\))', _encode_image, desc)
-
+# def read_description(file_path='README.md',
+#                      image_root=f'{home_url}/raw/main'):
+#     import re
+#     import os
+#
+#     def _encode_image(m):
+#         assert len(m.groups()) == 3
+#
+#         pre, src, post = m.groups()
+#         src = src.rstrip().lstrip()
+#         remote_src = os.path.join(image_root, os.path.relpath(src))
+#         return f'{pre}{remote_src}{post}'
+#
+#     desc = open(file_path, encoding='utf-8').read()
+#
+#     # substitute html image
+#     desc = re.sub(r'(<img\s+src\s*=\s*\")(docs/source/images/[^"]+)(\")', _encode_image, desc)
+#
+#     # substitute markdown image
+#     desc = re.sub(r'(\!\[.*\]\()(docs/source/images/.+)(\))', _encode_image, desc)
+#
+#     return desc
+
+def read_description(file_path='README.md'):
+    with open(file_path, encoding='utf-8') as f:
+        desc = f.read()
     return desc
 
 
@@ -83,7 +88,7 @@ def _encode_image(m):
     description='An General Automated Machine Learning Framework',
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url='',
+    url='https://github.com/DataCanvasIO/Hypernets',
     author='DataCanvas Community',
     author_email='[email protected]',
     license='Apache License 2.0',