6.887 Machine Learning for Systems

Lab 1: Introduction to Bayesian Optimization

Due: Monday, Sep 27 at 12:00 PM

Instructions:

Step 1

Install git if you don't have it and clone this repository with this command:

git clone --recurse-submodules https://github.com/pouyahmdn/6.887Lab1.git
cd 6.887Lab1

Step 2

We recommend using Anaconda (or the smaller miniconda) to manage your packages.

• If using Conda:

Create a new environment:

conda create --name lab1_mlforsys python=3.7

Activate the environment

conda activate lab1_mlforsys

Install the required packages:

conda install scipy numpy matplotlib pandas scikit-learn jupyter ipykernel nb_conda_kernels grpcio-tools

• If not using Conda:

Make sure you have python (>=3.5) installed on your system. Now install the required packages:

python3 -m pip install scipy numpy matplotlib pandas scikit-learn jupyter ipykernel grpcio-tools

Step 3

Launch jupyter notebook:

jupyter notebook

Step 4

Once completed, upload your notebook through Canvas.