Add (optional) dependencies of newer tpot

recipes/scikit-mdr/meta.yaml

@@ -0,0 +1,60 @@
+{% 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
+ noarch: python
+ 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.
+ dev_url: https://github.com/EpistasisLab/scikit-mdr
+
+extra:
+ recipe-maintainers:
+ - bollwyvl
+ - bryketos
+ - EpistasisLab
+ - pschmitt52
+ - rhiever
+ - weixuanfu

recipes/skrebate/meta.yaml

@@ -0,0 +1,57 @@
+{% 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
+ noarch: python
+ 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
+ - bryketos
+ - EpistasisLab
+ - pschmitt52
+ - rhiever
+ - weixuanfu

recipes/stopit/meta.yaml

@@ -0,0 +1,49 @@
+{% 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
+ noarch: python
+ 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