export LD_LIBRARY_PATH="/usr/local/lib"
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| from pywFM import FM | |
| import numpy as np | |
| from sklearn import datasets | |
| from sklearn.model_selection import train_test_split | |
| from scipy.stats import norm | |
| iris = datasets.load_iris() | |
| X = iris.data |
Создать виртуальное окружение можно командой virtualenv. Устновка в Ubuntu:
sudo apt-get install python-virtualenvКоманде virtualenv необходимо передать имя директории с виртуальным окружением и, опционально, версию интерпретатора питона. Например, так:
virtualenv ~/venv --python=python3.4
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