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inTorchEnsemble-Community/Ensemble-Pytorch (press backspace or delete to remove)How can I save the ensemble which has best validation loss during training?
fatcatZF
Hi,
I came across your repository while searching for ways to train multiple NN models simultaneously using 1 single GPU. My
model is pretty small (just 1 layer MLP) and the VRAM used more each model ...
nguyentr17
n_bases=2
softGBM = SoftGradientBoostingRegressor(
estimator=MLP,
n_estimators=n_bases,
shrinkage_rate=1.00,
cuda=True ...
wubizhi
Hey everyone!
I ve been learning Torchensemble, and I wanted to know how you can extract the embeddings before the final
classification layer.
Here is my ensemble model:
VotingClassifier(
(base_estimator_): ...
desertSniper87
I need to solve cuda out of memory..
TIMEXue
I use the following code to implement adversarial classifier on cifar100
transform_train_cifar = transforms.Compose([
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
...
antonioo-c
Hi Thanks for your good library. Can you tell me how multiple estimators made from one model in this library from one
data? is there any function for specially for this purpose?
maxwell1386
I am trying to run BaggingRegressor with a custom built optimizer. But it seems it s not currently supported. So, I am
doing the following
import torch
import torch.nn as nn
import torch.optim as optim ...
hmishfaq
I am trying to convert a sklearn based code that uses sklearn.ensemble.BaggingRegressor and am wondering if
Ensemble-pytorch can have bootstrap argument as sklearn has.
Is the a way to use the libaray for pretrained model? suppose that I have 4 alreay trained models, and I want to just
ensemble them.. Is there a way to do that ?
opencomvis
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