From c4d1b33f5b00691e4a9b7ec2f4e9a94bb31f5784 Mon Sep 17 00:00:00 2001 From: Mohammad Malekzadeh Date: Mon, 17 Feb 2020 09:54:50 +0000 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index bfd3486..d921fdc 100644 --- a/README.md +++ b/README.md @@ -11,18 +11,18 @@ Accepted for the Third Conference on Machine Learning and Systems (MLSys 2020), * Multi-Lable datasets will be automatically downloaded for the firs time. * For criteo dataset, in the first time, use the script `experiments/Criteo/criteo_dataset/create_datasets.ipynb` -### All you need to begin with: +### (A) All you need to begin with: #### 1: Run `1_build_an_encoder.ipynb`. #### 2: Run `2_a_synthetic_exp.ipynb`. -### For Criteo dataset: +### (B) For Criteo dataset: In the directory `experiments/Criteo/`, we have already run this file for the experiment we have reported in Figure 7 and provided dataset by processing `nrows=1000000000`, that uses 1 billion rows of the original dataset. I If one desires to make a dataset of another `nrows`, for the first time, the script [`create_datasets.ipynb`](https://github.com/mmalekzadeh/privacy-preserving-bandits/tree/master/experiments/Criteo/criteo_dataset) should be used. You should first set this parameter (number of rows) in the `create_datasets.ipynb`, build the dataset, and then run the Criteo experiment. Please see [`create_datasets.ipynb`](https://github.com/mmalekzadeh/privacy-preserving-bandits/tree/master/experiments/Criteo/criteo_dataset) for more dtail. -### Info: +### (C) Info: You may need to install packages that are listed in the `requirements.txt` file. ``` % pip install -r requirements.txt