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class RecoSparseTrainDataset(Dataset): | |
def __init__(self, sparse_mat): | |
self.sparse_mat = sparse_mat | |
def __len__(self): | |
return self.sparse_mat.shape[0] | |
def __getitem__(self, idx): | |
batch_matrix = self.sparse_mat[idx].toarray().squeeze() | |
return batch_matrix, idx | |
class RecoSparseTestSet(Dataset): | |
""" | |
The test dataset contains the training and test matrices. | |
The latter should be predicted from the training | |
""" | |
def __init__(self, train_mat, test_mat): | |
self.train_mat = train_mat | |
self.test_mat = test_mat | |
assert train_mat.shape == test_mat.shape | |
def __len__(self): | |
return self.train_mat.shape[0] | |
def __getitem__(self, idx): | |
train_matrix = self.train_mat[idx].toarray().squeeze() | |
test_matrix = self.test_mat[idx].toarray().squeeze() | |
return train_matrix, test_matrix, idx | |
class RecoSparseInferenceDataset(Dataset): | |
def __init__(self, sparse_mat, user_ids): | |
""" | |
sparse_mat : interaction matrix | |
user_ids : ids of the users (positional) | |
""" | |
self.sparse_mat = sparse_mat | |
self.user_ids = user_ids | |
assert sparse_mat.shape[0] == len(user_ids) | |
def __len__(self): | |
return self.sparse_mat.shape[0] | |
def __getitem__(self, idx): | |
batch_matrix = self.sparse_mat[idx].toarray().squeeze() | |
batch_ids = self.user_ids[idx] | |
return batch_matrix, batch_ids | |
### | |
batch_size = 512 | |
num_workers = multiprocessing.cpu_count() | |
train_loader = torch.utils.data.DataLoader(RecoSparseTrainDataset(train), batch_size=batch_size, shuffle=True, num_workers=num_workers) | |
val_loader = torch.utils.data.DataLoader(RecoSparseTestSet(train, val), batch_size=batch_size, shuffle=False, num_workers=num_workers) | |
test_loader = torch.utils.data.DataLoader(RecoSparseTestSet(train, test), batch_size=batch_size, shuffle=False, num_workers=num_workers) |
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