Open a Jupyter notebook and select the prophet39 kernel, or your preferred editor and type the following example: (you must use several code blocks to check every sentence) This command gives you the absolute path in your machine where you are now, copy the csv data file there with the Finder. You can check where you are as follow: % pwd At the end you will see the message: Successfully installed Cython-0.29.24įinally, let’s check if all the things are working fine with a simple test.īe sure you have this csv data file in your project folder.
If you are using Conda environments choose your preferred. Hence, with anaconda or Miniconda installed, press CMD+ to search in Mac Spotlight, type Terminal and open Terminal.app. If you haven't installed it yet, check this post. Normally, you should have Anaconda or Miniconda installed on your machine. In order to make the installation process of Prophet on Mac less painful, I have created this post based on the official documentation which I strongly recommend you to read.Ĭhecking the Python environment before installing Prophetīefore installing Prophet let's check if we have the Python environment correctly installed. The versions of Python and the libraries we are already using can give us some headaches when installing Prophet and more specifically its main dependency, which is the Pystan library.
Sometimes we can find ourselves with a Python environment on our machine that may well look like a junk drawer.
In this post we understand how to install Prophet on Mac machines, because depending on the configuration we have on the machine, we may face some installation problems. that facilitates Natural Language Processing (NLP) tasks. Prophet is a large library developed by Facebook Inc.