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aexol-studio /recommendation_user_based:d0b00c3f
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 0core_rating_only_Subscription_Boxes
|
HuggingFace Datasets (api:McAuley-Lab/Amazon-Reviews-2023 0core_rating_only_Digital_Music) or path (path:data/reviews.csv)
|
| line_format |
string
|
user item rating timestamp
|
line format
|
| columns_name |
string
|
user_id parent_asin rating
|
columns name
|
| min_rating |
integer
|
1
|
minimum rating
|
| max_rating |
integer
|
5
|
maximum rating
|
| size |
integer
|
10
|
top n recommendation
|
| pretrained |
boolean
|
False
|
Whether to use a pretrained model
|
| 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'}