Add recipe for mlrose python package

recipes/mlrose/LICENSE

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+BSD 3-Clause License
+
+Copyright (c) 2018, Genevieve Hayes
+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.

recipes/mlrose/meta.yaml

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+{% set name = "mlrose" %}
+{% set version = "1.3.0" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+  sha256: cec83253bf6da67a7fb32b2c9ae13e9dbc6cfbcaae2aa3107993e69e9788f15e
+
+build:
+  noarch: python
+  number: 0
+  script: "{{ PYTHON }} -m pip install . -vv"
+
+requirements:
+  host:
+    - python >=3
+    - pip
+  run:
+    - numpy
+    - scipy
+    - scikit-learn <0.21.0
+    - python >=3
+
+test:
+  imports:
+    - mlrose
+  requires:
+    - pip
+  commands:
+    - pip check
+
+about:
+  home: https://github.com/gkhayes/mlrose
+  license: BSD-3-Clause
+  license_family: BSD
+  license_file: LICENSE
+  summary: 'Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.'
+  description: |
+    mlrose is a Python package for applying some of the most common
+    randomized optimization and search algorithms to a range of different
+    optimization problems, over both discrete- and continuous-valued parameter spaces.
+  doc_url: https://mlrose.readthedocs.io/
+  dev_url: https://github.com/gkhayes/mlrose
+
+extra:
+  recipe-maintainers:
+    - onelharrison