aliciacurth / catenets Goto Github PK
View Code? Open in Web Editor NEWSklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
License: BSD 3-Clause "New" or "Revised" License
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
License: BSD 3-Clause "New" or "Revised" License
Example (executed regardless of the value in the previous if-block at L174) :
CATENets/catenets/models/torch/slearner.py
Line 181 in bb4da46
This might appear in other places as well—maybe worth checking (@bcebere?)
The PyTorch BaseCATEEstimator
, PropensityNet
, RepresentationNet
, BasicNet
(and possibly other models based on these) have a train
method that overrides the torch.nn.Module.train()
, intended to set the mode to training (affecting the behaviour of Dropout, BatchNorm, etc.)
At the same time, in the actual training procedures of these models the mode is never explicitly set to training.
I would propose getting rid of the train
methods in the BaseCATEEstimator
interface and elsewhere, and fixing the behaviour in the corresponding fit
methods (but currently don't have much time to look into the dependencies this would cause in experiments and so on).
Hi,
catenets == 0.2.1
I Get this error when trying the SNet2 or the DragonNet (jax).
TNet was working #1 with the same data and parameters.
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