Quick Start¶
Install¶
Install ads using pip (shown below) or OCI Conda Packs
python3 -m pip install "oracle_ads"
Initialize¶
Initialize your recommender job through the ads cli command:
ads operator init -t recommender
Input Data¶
Within the recommender
folder created above there will be a recommender.yaml
file. This file should be updated to contain the details about your data and recommender.
cd recommender
vi recommender.yaml
kind: operator
type: recommendation
version: v1
spec:
user_data:
url: users.csv
item_data:
url: items.csv
interactions_data:
url: interactions.csv
top_k: 4
user_column: user_id
item_column: movie_id
interaction_column: rating
Run¶
Now run the recommender job locally:
ads operator run -f recommender.yaml
Results¶
If not specified in the YAML, all results will be placed in a new folder called results
. Performance is summarized in the report.html
file.
open results/report.html