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2 parents 5ccd874 + 4be8819 commit 2d49dc7Copy full SHA for 2d49dc7
README.rst
@@ -91,6 +91,9 @@ Performing CFA requires users to specify in advance a model specification
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with the expected factor loading relationships. This can be done using
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the ``ModelSpecificationParser`` class.
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+Note that the ``ConfirmatoryFactorAnalyzer`` class is very experimental at this point,
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+so use it with caution, especially if your data are highly non-normal.
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+
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Examples
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--------
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conda-recipe/factor_analyzer/meta.yaml
@@ -1,5 +1,5 @@
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{% set name = "factor_analyzer" %}
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-{% set version = "0.3.1" %}
+{% set version = "0.3.2" %}
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{% set file_ext = "tar.gz" %}
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{% set hash_type = "sha256" %}
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{% set hash_value = "94ea4c7d46e846cc7174787adce47156cf58dc257905c878edc5181b4fa300ed" %}
@@ -13,22 +13,21 @@ source:
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build:
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number: 0
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- entry_points:
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- - factor_analyzer = factor_analyzer.analyze:main
+ noarch: python
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script:
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- cd $SRC_DIR
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- - $PYTHON setup.py install
+ - "{{ PYTHON }} -m pip install . --no-deps -vv"
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requirements:
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- - python==3.6
+ - python >=3.6
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- setuptools
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- pandas
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- scipy
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- numpy
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- scikit-learn
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run:
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setup.py
@@ -16,7 +16,7 @@ def requirements():
setup(name='factor_analyzer',
- version='0.3.1',
+ version='0.3.2',
description='A Factor Analysis class',
long_description=readme(),
keywords='factor analysis',
@@ -26,8 +26,6 @@ def requirements():
url="https://github.com/EducationalTestingService/factor_analyzer",
install_requires=requirements(),
include_package_data=True,
- entry_points={'console_scripts':
- ['factor_analyzer = factor_analyzer.analyze:main']},
classifiers=['Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'Programming Language :: Python',
@@ -40,5 +38,6 @@ def requirements():
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
+ 'Programming Language :: Python :: 3.7',
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],
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zip_safe=True)
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