<commit_before>{% set name = "hyperbox-brain" %}
{% set version = "0.1.4" %}

package:
  name: {{ name|lower }}
  version: {{ version }}

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
  sha256: 41ba26a8b285f48ef5f8e76c6f60fdab43b9ed689b7f2c531e7ade4442a83437

build:
  script: {{ PYTHON }} -m pip install . -vv
  noarch: python
  number: 0

requirements:
  host:
    - python >=3.6
    - pip
    - setuptools
  run:
    - python >=3.6
    - numpy >=1.14.6
    - scikit-learn >=0.24.0
    - scipy >=1.1.0
    - joblib >=0.11
    - threadpoolctl >=2.0.0
    - plotly >=4.10.0
    - pandas >=0.25.0
    - matplotlib-base >=2.2.3
    - setuptools

test:
  imports:
    - hbbrain
    - hbbrain.tests
  requires:
    - pip
    - numpy >=1.14.6
    - scikit-learn >=0.24.0
    - pandas >=0.25.0
    - matplotlib-base >=2.2.3
    - pytest
  commands:
    - pip check

about:
  home: https://uts-caslab.github.io/hyperbox-brain/
  summary: 'A scikit-learn compatible hyperbox-based machine learning library in Python'
  description: |
    hyperbox-brain is a Python open source toolbox implementing hyperbox-based machine learning algorithms
    built on top of scikit-learn and is distributed under the GPL-3.0 license. The project was started in
    2018 by Prof. <NAME> and Dr. <NAME> at the Complex Adaptive Systems Lab - The University 
    of Technology Sydney. This project is a core module aiming to the formulation of explainable lifelong 
    learning systems in near future.<commit_msg>Add libraries for hyperbox-brain recipe<commit_after>{% set name = "hyperbox-brain" %}
{% set version = "0.1.4" %}

package:
  name: {{ name|lower }}
  version: {{ version }}

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
  sha256: 41ba26a8b285f48ef5f8e76c6f60fdab43b9ed689b7f2c531e7ade4442a83437

build:
  script: {{ PYTHON }} -m pip install . -vv
  noarch: python
  number: 0

requirements:
  host:
    - python >=3.6
    - pip
    - setuptools
  run:
    - python >=3.6
    - numpy>=1.14.6
    - scikit-learn>=0.24.0
    - scipy>=1.1.0
    - joblib>=0.11
    - threadpoolctl>=2.0.0
    - plotly>=4.10.0
    - pandas>=0.25.0
    - matplotlib-base>=2.2.3
    - setuptools

test:
  imports:
    - hbbrain
    - hbbrain.tests
  requires:
    - pip
    - numpy>=1.14.6
    - scikit-learn>=0.24.0
    - pandas>=0.25.0
    - matplotlib-base>=2.2.3
    - pytest
  commands:
    - pip check

about:
  home: https://uts-caslab.github.io/hyperbox-brain/
  summary: 'A scikit-learn compatible hyperbox-based machine learning library in Python'
  description: |
    hyperbox-brain is a Python open source toolbox implementing hyperbox-based machine learning algorithms
    built on top of scikit-learn and is distributed under the GPL-3.0 license. The project was started in
    2018 by Prof. <NAME> and Dr. <NAME> at the Complex Adaptive Systems Lab - The University 
    of Technology Sydney. This project is a core module aiming to the formulation of explainable lifelong 
    learning systems in near future.
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