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aexol-studio /recommendation_hybrid:9ce997c6
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| data |
string
|
api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Subscription_Boxes
|
HuggingFace Dataset API (api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Magazine_Subscriptions) or path (path:data/reviews.csv)
|
| user_id |
string
|
AHZKJ74LZJQMNNPISIOTL36TXDIA
|
User id
|
| user_column |
string
|
user_id
|
Column storing the user ids
|
| name_column |
string
|
title
|
Column storing the name of the items
|
| text_column |
string
|
text
|
Column storing the reviews or descriptions of the items
|
| item_column |
string
|
parent_asin
|
Column storing the items ids
|
| top_n |
integer
|
10
|
Number of top recommendation to return
|
| prediction |
None
|
items
|
Prediction type: items (only items), users (only users), both (items and users)
|
| pretrained |
boolean
|
False
|
Whether to use a pretrained models
|
| show_metrics |
boolean
|
False
|
Whether to show the evaluation metrics
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'title': 'Output', 'type': 'string'}