DNN handling missing value
- imputation with 0.0, refer to
nn.py - global adative imputation, refer to
hmv_nn.py.
if x is missing:
w1
else:
w2*x
w1 and w2 are trainable
-
TODO: sample-wise imputation
-
use the O2O data, extract feature using extract_feature.py