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This repository was archived by the owner on Nov 16, 2023. It is now read-only.
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This repository was archived by the owner on Nov 16, 2023. It is now read-only.
Repro steps:
(1) Install fresh environment w/ python version 3.5.
(2) Run pip install scikit-learn==0.19.1
(3) Run pip install nimbusml==1.3.0
(3) Start Python shell, then run from nimbusml.feature_extraction.categorical import OneHotHashVectorizer, OneHotVectorizer
Exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\daholste\AppData\Local\Continuum\miniconda3\envs\test35\lib\site-packages\nimbusml\__init__.py", line 26, in <module>
from .pipeline import Pipeline
File "C:\Users\daholste\AppData\Local\Continuum\miniconda3\envs\test35\lib\site-packages\nimbusml\pipeline.py", line 23, in <module>
from .internal.core.base_pipeline_item import BasePipelineItem
File "C:\Users\daholste\AppData\Local\Continuum\miniconda3\envs\test35\lib\site-packages\nimbusml\internal\core\base_pipeline_item.py", line 22, in <module>
from nimbusml.utils import signature
File "C:\Users\daholste\AppData\Local\Continuum\miniconda3\envs\test35\lib\site-packages\nimbusml\utils\__init__.py", line 1, in <module>
from .utils import get_X_y, evaluate_binary_classifier, check_accuracy, \
File "C:\Users\daholste\AppData\Local\Continuum\miniconda3\envs\test35\lib\site-packages\nimbusml\utils\utils.py", line 15, in <module>
from sklearn.utils.testing import assert_greater
File "C:\Users\daholste\AppData\Local\Continuum\miniconda3\envs\test35\lib\site-packages\sklearn\utils\testing.py", line 49, in <module>
from nose.tools import raises
ImportError: No module named 'nose'
The exact rootcause is this one:
\nimbusml\utils\utils.py", line 15, in
from sklearn.utils.testing import assert_greater
we should not load testing module in core production flow. We will remove this
Activity
ganik commentedon Sep 9, 2019
The exact rootcause is this one:
\nimbusml\utils\utils.py", line 15, in
from sklearn.utils.testing import assert_greater
we should not load testing module in core production flow. We will remove this