Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

src/python/nimbusml/internal/core/base_pipeline_item.py

@@ -18,7 +18,7 @@ from itertools import chain
 from textwrap import wrap
 
 import six
-from sklearn.utils.fixes import signature
+from nimbusml.utils import signature
 
 from ..utils.data_roles import DataRoles, Role
 from ..utils.data_stream import ViewBasePipelineItem, DataStream, \

src/python/nimbusml/internal/utils/entrypoints.py

@@ -16,7 +16,7 @@ import pandas as pd
 import six
 from pandas import DataFrame
 from scipy.sparse import csr_matrix
-from sklearn.utils.fixes import signature
+from nimbusml.utils import signature
 
 from .data_stream import BinaryDataStream
 from .data_stream import FileDataStream

src/python/nimbusml/utils/__init__.py

@@ -1,11 +1,17 @@
 from .utils import get_X_y, evaluate_binary_classifier, check_accuracy, \
     check_accuracy_scikit, load_img, ColumnSelector
 
-all = [
+try:
+    from inspect import signature
+except ImportError:
+    from funcsigs import signature
+
+__all__ = [
     'get_X_y',
     'evaluate_binary_classifier',
     'check_accuracy',
     'check_accuracy_scikit',
     'load_img',
-    'ColumnSelector'
+    'ColumnSelector',
+    'signature'
 ]

src/python/setup.py

@@ -37,6 +37,7 @@ if sys.version_info.major == 3:
 if sys.version_info[0:2] == (2,7):
     _install_requires.append('decorator')
     _install_requires.append('enum')
+    _install_requires.append('funcsigs>=1.0.2')
 
 setup(
     name='nimbusml',