Movielens¶

class paddle.text. Movielens ( data_file=None, mode='train', test_ratio=0.1, rand_seed=0, download=True ) [source]

Implementation of Movielens 1-M dataset.

Parameters

• data_file (str) – path to data tar file, can be set None if download is True. Default None

• mode (str) – ‘train’ or ‘test’ mode. Default ‘train’.

• test_ratio (float) – split ratio for test sample. Default 0.1.

• rand_seed (int) – random seed. Default 0.

• download (bool) – whether to download dataset automatically if data_file is not set. Default True

Returns

instance of Movielens 1-M dataset

Return type

Dataset

Examples

>>> 
>>> import paddle
>>> from paddle.text.datasets import Movielens

>>> class SimpleNet(paddle.nn.Layer):
...     def __init__(self):
...         super().__init__()
...
...     def forward(self, category, title, rating):
...         return paddle.sum(category), paddle.sum(title), paddle.sum(rating)


>>> movielens = Movielens(mode='train')

>>> for i in range(10):
...     category, title, rating = movielens[i][-3:]
...     category = paddle.to_tensor(category)
...     title = paddle.to_tensor(title)
...     rating = paddle.to_tensor(rating)
...
...     model = SimpleNet()
...     category, title, rating = model(category, title, rating)
...     print(category.shape, title.shape, rating.shape)
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