RandomModel

class rectools.models.random.RandomModel(random_state: Optional[int] = None, verbose: int = 0)[source]

Model generating random recommendations.

By default all items that are present in dataset.item_id_map will be used for recommendations.

Numbers ranging from <n recommendations for user> to 1 will be used as a “score” in recommendations.

Parameters

random_state (int, optional, default None) – Pseudorandom number generator state to control the sampling.
verbose (int, default 0) – Degree of verbose output. If 0, no output will be provided.

Inherited-members

Methods

`dumps`()	Serialize model to bytes.
`fit`(dataset, args, *kwargs)	Fit model.
`fit_partial`(dataset, args, *kwargs)	Fit model.
`from_config`(config)	Create model from config.
`get_config`([mode, simple_types])	Return model config.
`get_params`([simple_types, sep])	Return model parameters.
`load`(f)	Load model from file.
`loads`(data)	Load model from bytes.
`recommend`(users, dataset, k, filter_viewed)	Recommend items for users.
`recommend_to_items`(target_items, dataset, k)	Recommend items for target items.
`save`(f)	Save model to file.

Attributes

`recommends_for_cold`
`recommends_for_warm`