update setup.py

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='yangjian@zetyun.com',
  license='Apache License 2.0',