Add recipe for mlrose python package

recipes/mlrose/meta.yaml

@@ -0,0 +1,50 @@
+{% 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:
+    - numpy
+    - scipy
+    - scikit-learn
+    - python >=3
+    - pip
+  run:
+    - 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