added more explicit license clause from sklearn

Author: vasilismsr

LICENSE

@@ -19,3 +19,40 @@
     LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
     OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
     SOFTWARE
+
+
+Parts of this software, in particular code contained in the modules econml.tree and
+econml.grf contain files that are forks from the scikit-learn git repository, or code
+snippets from that repository:
+https://github.com/scikit-learn/scikit-learn
+published under the following License.
+
+BSD 3-Clause License
+
+Copyright (c) 2007-2020 The scikit-learn developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

econml/grf/__init__.py

@@ -1,3 +1,6 @@
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License.
+
 from ._criterion import LinearMomentGRFCriterion, LinearMomentGRFCriterionMSE
 from .classes import CausalForest, CausalIVForest, RegressionForest, MultiOutputGRF
 

econml/grf/_base_grf.py

@@ -3,6 +3,11 @@
 #
 # This code contains snippets of code from
 # https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/ensemble/_forest.py
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 import numbers
 from warnings import catch_warnings, simplefilter, warn

econml/grf/_base_grftree.py

@@ -3,6 +3,11 @@
 #
 # This code contains snippets of code from:
 # https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_classes.py
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 import numpy as np
 import numbers

econml/grf/_criterion.pxd

@@ -1,5 +1,10 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # Licensed under the MIT License.
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 # See _criterion.pyx for implementation details.
 

econml/grf/_criterion.pyx

@@ -7,6 +7,11 @@
 #
 # This code contains some snippets of code from:
 # https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_criterion.pyx
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 from libc.stdlib cimport calloc
 from libc.stdlib cimport free

econml/grf/_ensemble.py

@@ -3,6 +3,11 @@
 #
 # This code is a fork from:
 # https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/ensemble/_base.py
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 import numbers
 import numpy as np

econml/tree/__init__.py

@@ -1,3 +1,5 @@
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License.
 
 from ._criterion import Criterion, RegressionCriterion, MSE
 from ._splitter import Splitter, BestSplitter

econml/tree/_criterion.pxd

@@ -2,6 +2,11 @@
 # Licensed under the MIT License.
 #
 # This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_criterion.pxd
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 # See _criterion.pyx for implementation details.
 

econml/tree/_criterion.pyx

@@ -6,6 +6,11 @@
 # Licensed under the MIT License.
 #
 # This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_criterion.pyx
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 from libc.stdlib cimport calloc
 from libc.stdlib cimport free

econml/tree/_splitter.pxd

@@ -2,6 +2,11 @@
 # Licensed under the MIT License.
 #
 # This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_splitter.pxd
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 # See _splitter.pyx for details.
 

econml/tree/_splitter.pyx

@@ -6,6 +6,11 @@
 # Licensed under the MIT License.
 #
 # This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_splitter.pyx
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 from ._criterion cimport Criterion
 

econml/tree/_tree.pxd

@@ -2,6 +2,11 @@
 # Licensed under the MIT License.
 #
 # This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_tree.pxd
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 # See _tree.pyx for details.
 

econml/tree/_tree.pyx

@@ -6,6 +6,11 @@
 # Licensed under the MIT License.
 #
 # This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_tree.pyx
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
 
 
 from cpython cimport Py_INCREF, PyObject, PyTypeObject

econml/tree/_utils.pxd

@@ -1,3 +1,13 @@
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License.
+#
+# This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_utils.pxd
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
+
 import numpy as np
 cimport numpy as np
 from ._tree cimport Node

econml/tree/_utils.pyx

@@ -2,6 +2,16 @@
 # cython: boundscheck=False
 # cython: wraparound=False
 
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License.
+#
+# This code is a fork from: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_utils.pyx
+# published under the following license and copyright:
+# BSD 3-Clause License
+#
+# Copyright (c) 2007-2020 The scikit-learn developers.
+# All rights reserved.
+
 from libc.stdlib cimport free
 from libc.stdlib cimport malloc
 from libc.stdlib cimport realloc