cdl_single: Collaborative Deep Learning with a single network...
In tianwei-zhang/easyAI: Democratize AI
Description
Usage
Arguments
Value
Description
Collaborative Deep Learning with a single network configuration
Usage
1
cdl_single(items, rating, units_middle = 10, units_outer = 15)
Arguments
items
item matrix with numeric item attributes
rating
user-item rating matrix
units_middle
number of units in the intermediate layer. This is the layer to represent item latent latent_vectors
units_outer
number of units in the first and last hidden layers
Value
return a user-item ratings with scores for previously unseen items for each user
tianwei-zhang/easyAI documentation built on May 14, 2019, 12:48 p.m.
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Description Usage Arguments Value
Description
Collaborative Deep Learning with a single network configuration
Usage
1 | cdl_single(items, rating, units_middle = 10, units_outer = 15)
|
Arguments
items |
item matrix with numeric item attributes |
rating |
user-item rating matrix |
units_middle |
number of units in the intermediate layer. This is the layer to represent item latent latent_vectors |
units_outer |
number of units in the first and last hidden layers |
Value
return a user-item ratings with scores for previously unseen items for each user
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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