Requirement already satisfied: scipy in /home/pinaki/anaconda3/lib/python3. Requirement already satisfied: numpy in /home/pinaki/anaconda3/lib/python3.6/site-packages (from xgboost) ImportError: cannot import name 'XGBClassifier'Īnd pip install xgboost returned the following output: Requirement already satisfied: xgboost in /home/pinaki/xgboost/python-package 'This module will be removed in 0.20.', DeprecationWarning)īut while trying to run the same code using Spyder got the following error: from xgboost import XGBClassifierįile '/media/pinaki/MyStuff/Work/Machine Learning A-Z Template Folder/Part 10 - Model Selection & Boosting/Section 49 - XGBoost/XGBoost/xgboost.py', line 30, in Also note that the interface of the new CV iterators are different from that of this module. home/pinaki/anaconda3/lib/python3.6/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Type 'help', 'copyright', 'credits' or 'license' for more information. This script makes the custom environment available as a kernel in Jupyter every time that you start the. Conda also provides a virtual environment system. In my experience, Conda does an excellent job managing dependencies and installing new packages, allowing you to install the packages you want and get back to work eventually. I downloaded the latest Anaconda 3 2.4.1 (Python 3.5) from the below link: PC Configurations are: Windows 10, 64 bit, 4GB RAMI have. On the stopped notebook instance, add the on-start script as a lifecycle configuration. Conda is the package manager that comes with an anaconda, or miniconda3 distribution. Python 3.6.1 |Anaconda custom (64-bit)| (default, May 11 2017, 13:09:58) When installation is complete, stop the notebook instance.

I am able to import it using terminal (with a deprecation warning) i.e: python The same thing is happening for me while using Spyder.

Conda install xgboost taking long