install openslide & category-encoders from pip archive · HpcDataLab/docker-python@4c68822 · GitHub

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Commit 4c68822

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rosbo

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install openslide & category-encoders from pip archive

1 parent db0e170 commit 4c68822
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+6-8Lines changed: 6 additions & 8 deletions

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  • test_category_encoders.py

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‎Dockerfile‎

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+2-4Lines changed: 2 additions & 4 deletions

Original file line number	Diff line number	Diff line change
@@ -283,8 +283,7 @@ RUN pip install --upgrade cython && \
283	283	pip install fasttext && \
284	284	apt-get install -y libhunspell-dev && pip install hunspell && \
285	285	pip install annoy && \
286		- # Need to use CountEncoder from category_encoders before it's officially released
287		- pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
	286	+ pip install category_encoders && \
288	287	# google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
289	288	pip install google-cloud-automl==1.0.1 && \
290	289	# Newer version crashes (latest = 1.14.0) when running tensorflow.
@@ -347,8 +346,7 @@ RUN pip install bcolz && \
347	346	pip install --upgrade Pillow && \
348	347	# Install openslide and its python binding
349	348	apt-get install -y openslide-tools && \
350		- # b/152402322 install latest from pip once is in: https://github.com/openslide/openslide-python/pull/76
351		- pip install git+git://github.com/rosbo/openslide-python.git@fix-setup && \
	349	+ pip install openslide-python && \
352	350	pip install ptyprocess && \
353	351	pip install Pygments && \
354	352	pip install pyparsing && \

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‎tests/test_category_encoders.py‎

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+4-4Lines changed: 4 additions & 4 deletions

Original file line number	Diff line number	Diff line change
@@ -1,12 +1,12 @@
1	1	import unittest
2	2
	3	+ from category_encoders import CountEncoder
	4	+ import pandas as pd
	5	+
	6	+
3	7	## Need to make sure we have CountEncoder available from the category_encoders library
4	8	class TestCategoryEncoders(unittest.TestCase):
5	9	def test_count_encoder(self):
6		-
7		- from category_encoders import CountEncoder
8		- import pandas as pd
9		-
10	10	encoder = CountEncoder(cols="data")
11	11
12	12	data = pd.DataFrame([1, 2, 3, 1, 4, 5, 3, 1], columns=["data"])

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