Add (optional) dependencies of newer tpot

recipes/scikit-mdr/meta.yaml

@@ -0,0 +1,55 @@
+{% set name = "scikit-MDR" %}
+{% set version = "0.4.4" %}
+{% set sha256 = "fc4e6710c7ac7a63c55641773388e43cc75bbe19f8d946bb8ac09eadb7d9eb2e" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  fn: {{ name }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+  sha256: {{ sha256 }}
+
+build:
+  number: 0
+  script: python setup.py install --single-version-externally-managed --record record.txt
+
+requirements:
+  build:
+    - python
+    - setuptools
+  run:
+    - matplotlib
+    - numpy
+    - python
+    - scikit-learn
+    - scipy
+
+test:
+  imports:
+    - mdr
+
+about:
+  home: https://github.com/EpistasisLab/scikit-mdr
+  license: MIT
+  license_family: MIT
+  license_file: LICENSE
+  summary: |
+    A sklearn-compatible Python implementation of Multifactor Dimensionality
+    Reduction (MDR) for feature construction.
+
+  description: |
+    MDR is an effective feature construction algorithm that is capable of
+    modeling higher-order interactions and capturing complex patterns in data
+    sets.
+
+    MDR currently only works with categorical features and supports both binary
+    classification and regression problems. We are working on expanding the
+    algorithm to cover more problem types and provide more convenience features.
+  doc_url: http://simplejson.readthedocs.io/
+  dev_url: https://github.com/EpistasisLab/scikit-mdr
+
+extra:
+  recipe-maintainers:
+    - bollwyvl

recipes/skrebate/meta.yaml

@@ -0,0 +1,51 @@
+{% set name = "skrebate" %}
+{% set version = "0.4" %}
+{% set sha256 = "e7311e2ef54461a2d6df4ac4c81d74dec9e71ccd02040bc7fadb3a5221225cc2" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  fn: {{ name }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+  sha256: {{ sha256 }}
+
+build:
+  number: 0
+  script: python setup.py install --single-version-externally-managed --record record.txt
+
+requirements:
+  build:
+    - python
+    - setuptools
+  run:
+    - numpy
+    - python
+    - scikit-learn
+    - scipy
+
+test:
+  imports:
+    - skrebate
+
+about:
+  home: https://epistasislab.github.io/scikit-rebate
+  license: MIT
+  license_family: MIT
+  # TODO: upstream a PR to add LICENSE to MANIFEST.in
+  # license_file: LICENSE
+  summary: |
+    A scikit-learn-compatible Python implementation of ReBATE, a suite of
+    Relief-based feature selection algorithms for Machine Learning.
+  description: |
+    These algorithms excel at identifying features that are predictive of the
+    outcome in supervised learning problems, and are especially good at
+    identifying feature interactions that are normally overlooked by standard
+    feature selection methods.
+  doc_url: https://epistasislab.github.io/scikit-rebate
+  dev_url: https://github.com/EpistasisLab/scikit-rebate
+
+extra:
+  recipe-maintainers:
+    - bollwyvl

recipes/stopit/meta.yaml

@@ -0,0 +1,48 @@
+{% set name = "stopit" %}
+{% set version = "1.1.1" %}
+{% set sha256 = "d879a892e6c0d524763b8bf20831a78311d86ea59ec199ec551abf3f494b0708" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  fn: {{ name }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+  sha256: {{ sha256 }}
+
+build:
+  number: 0
+  script: python setup.py install --single-version-externally-managed --record record.txt
+
+requirements:
+  build:
+    - python
+    - setuptools
+  run:
+    - python
+    - setuptools
+
+
+test:
+  imports:
+    - stopit
+
+about:
+  home: https://pypi.python.org/pypi/stopit
+  license: GPL-3.0
+  license_family: GPL
+  summary: |
+    Raise asynchronous exceptions in other thread, control the timeout of
+    blocks or callables with a context manager or a decorator
+  description: |
+    This module provides:
+      - a function that raises an exception in another thread, including the
+        main thread.
+      - two context managers that may stop its inner block activity on timeout.
+      - two decorators that may stop its decorated callables on timeout.
+  dev_url: https://github.com/glenfant/stopit
+
+extra:
+  recipe-maintainers:
+    - bollwyvl