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This is giving errors, am I missing something?
from scipy import sparse
from sklearn.datasets import load_boston
import pylibfm
instantiate FM instance with 7 latent factors
fm = pylibfm.FM(num_factors=7, num_iter=6, verbose=True)
load dataset
boston = load_boston()
fit FM, making sure to wrap the ndarray as a sparse csr
fm.fit(sparse.csr_matrix(boston.data), boston.target)
Creating validation dataset of 0.01 of training for adaptive regularization
-- Epoch 1
Training log loss: nan
-- Epoch 2
Training log loss: nan
-- Epoch 3
Training log loss: nan
-- Epoch 4
Training log loss: nan
-- Epoch 5
Training log loss: nan
-- Epoch 6
Training log loss: nan
fm.v is also all nan.
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