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Author: vanderlei-filho

PKG-INFO

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+Metadata-Version: 1.0
+Name: linalgnorm
+Version: 1.0
+Summary: This is a sample python package for encapsulating custom tranforms from scikit-learn into Watson Machine Learning
+Home-page: https://github.com/vnderlev/sklearn_tansforms/
+Author: Vanderlei Munhoz
+Author-email: [email protected]
+License: BSD
+Description: UNKNOWN
+Platform: UNKNOWN

README.md

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-# wml_sklearn_transform
+# My custom sklearn transform

my_custom_sklearn_tansforms/sklearn_transformers.py

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+# All sklearn Transforms must have the `transform` and `fit` methods
+# You can declare several custom transforms (as different classes) in
+# this file
+
+
+class DropColumns(object):
+    def __init__(self, columns):
+        self.columns = columns
+
+    def transform(self, x):
+        return x.copy().drop(labels=self.columns, axis='columns')
+
+    def fit(self, df, y=None):
+        return self

my_custom_sklearn_transforms.egg-info/PKG-INFO

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+Metadata-Version: 1.0
+Name: sklearn_tansforms
+Version: 1.0
+Summary: This is a sample python package for encapsulating custom tranforms from scikit-learn into Watson Machine Learning
+Home-page: https://github.com/vnderlev/sklearn_tansforms/
+Author: Vanderlei Munhoz
+Author-email: [email protected]
+License: IBM
+Description: UNKNOWN
+Platform: UNKNOWN

my_custom_sklearn_transforms.egg-info/SOURCES.txt

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+setup.py
+linalg_norm/__init__.py
+linalg_norm/sklearn_transformers.py
+linalgnorm.egg-info/PKG-INFO
+linalgnorm.egg-info/SOURCES.txt
+linalgnorm.egg-info/dependency_links.txt
+linalgnorm.egg-info/not-zip-safe
+linalgnorm.egg-info/top_level.txt

my_custom_sklearn_transforms.egg-info/dependency_links.txt

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+

my_custom_sklearn_transforms.egg-info/not-zip-safe

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+

my_custom_sklearn_transforms.egg-info/top_level.txt

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+my_custom_sklearn_transforms

setup.cfg

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+[egg_info]
+tag_build = 
+tag_date = 0
+tag_svn_revision = 0

setup.py

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+from setuptools import setup
+
+
+setup(
+      name='my_custom_sklearn_transforms',
+      version='1.0',
+      description='''
+            This is a sample python package for encapsulating custom
+            tranforms from scikit-learn into Watson Machine Learning
+      ''',
+      url='https://github.com/vnderlev/sklearn_tansforms/',
+      author='Vanderlei Munhoz',
+      author_email='[email protected]',
+      license='BSD',
+      packages=[
+            'my_custom_sklearn_transforms'
+      ],
+      zip_safe=False
+)