use correct yaml
-{% set name = "ipydataclean" %}
-{% set version = "0.2.2" %}
-{% set sha256 = "2f2b350b954fb6dbbe4356fc2b2496f917313e899937cd1e6436853ee9ebea1d" %}
+{% set name = "boltzmannclean" %}
+{% set version = "0.1.2" %}
+{% set sha256 = "e4b4ed0a7ae9c1f3dfb9283c87fd1c846d801934f16afcf0e09ce5f24bc8d073" %}
package:
name: {{ name|lower }}
@@ -13,38 +13,32 @@ source:
build:
number: 0
+ noarch: python
script: python -m pip install --no-deps --ignore-installed .
requirements:
build:
- python
- pip
- - jupyter
run:
- python
- pandas
- numpy
- - matplotlib
- - ipywidgets >=7.0.0
- scipy
- - funcsigs # [py2k]
- scikit-learn
- - ipython
- - future
- - boltzmannclean
test:
imports:
- - dataclean
+ - boltzmannclean
about:
home: https://faculty.ai
license: Apache-2.0
license_family: Apache
license_file: '{{ environ["RECIPE_DIR"] }}/LICENSE'
- summary: 'Interactive cleaning for pandas DataFrames'
+ summary: 'Fills missing values in a pandas DataFrame using a Restricted Boltzmann Machine.'
description: |
- A Jupyter plugin for interactive cleaning of pandas DataFrames.
+ Fills missing values in a pandas DataFrame using a Restricted Boltzmann Machine.
extra:
recipe-maintainers:
