From 25762734b4b015236e342e4c564feb8b00e67709 Mon Sep 17 00:00:00 2001
From: Miguel Fierro <3491412+miguelgfierro@users.noreply.github.com>
Date: Fri, 29 Sep 2023 12:27:47 +0200
Subject: [PATCH] Delete conda.md
---
conda.md | 51 ---------------------------------------------------
1 file changed, 51 deletions(-)
delete mode 100644 conda.md
diff --git a/conda.md b/conda.md
deleted file mode 100644
index db0e03bfc2..0000000000
--- a/conda.md
+++ /dev/null
@@ -1,51 +0,0 @@
-One possible way to use the repository is to run all the recommender utilities directly from a local copy of the source code (without building the package). This requires installing all the necessary dependencies from Anaconda and PyPI.
-
-To this end we provide a script, [generate_conda_file.py](tools/generate_conda_file.py), to generate a conda-environment yaml file which you can use to create the target environment using Python with all the correct dependencies.
-
-Assuming the repo is cloned as `Recommenders` in the local system, to install **a default (Python CPU) environment**:
-
- cd Recommenders
- python tools/generate_conda_file.py
- conda env create -f reco_base.yaml
-
-You can specify the environment name as well with the flag `-n`.
-
-Click on the following menus to see how to install Python GPU and PySpark environments:
-
-
-Python GPU environment
-
-Assuming that you have a GPU machine, to install the Python GPU environment:
-
- cd Recommenders
- python tools/generate_conda_file.py --gpu
- conda env create -f reco_gpu.yaml
-
-
-
-
-PySpark environment
-
-To install the PySpark environment:
-
- cd Recommenders
- python tools/generate_conda_file.py --pyspark
- conda env create -f reco_pyspark.yaml
-
-Additionally, if you want to test a particular version of spark, you may pass the `--pyspark-version` argument:
-
- python tools/generate_conda_file.py --pyspark-version 3.1.1
-
-
-
-
-Full (PySpark & Python GPU) environment
-
-With this environment, you can run both PySpark and Python GPU notebooks in this repository.
-To install the environment:
-
- cd Recommenders
- python tools/generate_conda_file.py --gpu --pyspark
- conda env create -f reco_full.yaml
-
-