Merge pull request #54 from lixfz/master

Upgrade to 0.1.14

Author: jackguagua

deeptables/__init__.py

@@ -1,3 +1,4 @@
 # -*- coding:utf-8 -*-
 __author__ = 'yangjian'
 
+from ._version import __version__

deeptables/_version.py

@@ -0,0 +1 @@
+__version__ = '0.1.14'

deeptables/models/preprocessor.py

@@ -291,7 +291,7 @@ def __prepare_features(self, X):
         excluded_vars = []
 
         if self.config.cat_exponent >= 1:
-            raise ValueError(f'"cat_expoent" must be less than 1, not {self.config.cat_exponent} .')
+            raise ValueError(f'"cat_exponent" must be less than 1, not {self.config.cat_exponent} .')
 
         var_len_categorical_columns = self.config.var_len_categorical_columns
         var_len_column_names = []

requirements.txt

@@ -1,7 +1,7 @@
 packaging
 scipy>=1.3.1
 pandas<=1.1.5,>=0.25.3
-numpy<1.19.0,>=1.16.0
+numpy>=1.16.5
 tensorflow>=2.0.0,<=2.4.0
 scikit-learn>=0.20.3
 catboost>=0.20.2

setup.py

@@ -2,13 +2,13 @@
 
 from __future__ import absolute_import
 
+import os
+
 from setuptools import find_packages
 from setuptools import setup
 
 
 def read_requirements(file_path='requirements.txt'):
-    import os
-
     if not os.path.exists(file_path):
         return []
 
@@ -38,15 +38,34 @@ def read_extra_requirements():
 
     return extra
 
-version = '0.1.13'
+
+def read_version(py_file, var_name='__version__'):
+    try:
+        execfile
+    except NameError:
+        def execfile(fname, globs, locs=None):
+            locs = locs or globs
+            exec(compile(open(fname).read(), fname, "exec"), globs, locs)
+
+    version_ns = {}
+
+    base_dir = os.path.dirname((os.path.abspath(__file__)))
+    execfile(os.path.join(base_dir, py_file), version_ns)
+    version = version_ns[var_name]
+
+    return version
+
+
+name = 'deeptables'
+version = read_version(os.path.join(name, '_version.py'))
 requirements = read_requirements()
 
 MIN_PYTHON_VERSION = '>=3.6.*'
 
 long_description = open('README.md', encoding='utf-8').read()
 
 setup(
-    name='deeptables',
+    name=name,
     version=version,
     description='Deep-learning Toolkit for Tabular datasets',
     long_description=long_description,