Installing XGBoost and pandas_profiling in MacOS
IInstalling xgboost and pandas_profiling in MacOS
Why are we writing this article to install a simple library?
It’s because there is a high probability that you will face issues while importing xgboost in your Jupyter notebook on a MacOS. You will come across a lot of tutorial videos, stackoverflow, and what not.
Chances are that you might waste a lot of time in just importing the library let alone working on it
Installing xgboost and pandas_profiling in MacOS
Posting this blog 3:00 in the morning, because we understand the pain and frustration it cause to deal with errors which are not even worth investing time
I will tell you what all things I tried, and then you can try it in your system. If everything goes well then you might thank me in the comment box 😛
The first error which I got was ‘OpenMP runtime is not installed’
Solution – Open a new workbook in Jupyter and run the command ‘brew install libomp‘
It will take some time to run, once it is installed. Restart the Kernel
This is essential(at least I tried this), but again when I tried to import xgboost there was another error. This time around there was error of some other dependency. Tried multiple things.
Below is the final thing which helped.
Shut your Jupyter notebook. Close Anaconda.
Open the terminal and write ‘conda install -c conda-forge xgboost‘ (No specific path needed to run this command.
Reopen Anaconda, Launch Jupyter and try ‘import xgboost as xgb’
If the force is with you then it will be imported. Else, google, youtube,Stackoverflow !!
This video helped a lot
Bonus tip
Use the below command in your notebook
pip install pandas-profiling
This will install pandas_profiling package.
What is Panda_profiling?
import pandas_profiling
report = pandas_profiling.ProfileReport(train)
report
train is your training dataset. This above command will give you a complete overview of the dataset. There are many more information than the screenshot give below
Bonus tip 2.0 – The command will take at least 8-10 minutes to summarize the data and your laptop might heat up 😛
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