adapt

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mac m1 tensorflow dependency

5

Currently using a mac M1, I have tensorflow-deps, tensorflow-macos(2.9.0) and tensorflow-metal installed (all working fine), but when I try to "pip install adapt" I have the following conflict: adapt 0.4.1...

hmckay

Implementation of adversarial domain adaptation

1

This article mentions both adversarial learning and domain adaptation. > Chen, D., Zhou, R., Pan, Y., & Liu, F. (2022). A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting....

davidshumway

inconsistency observed between different functions

13

HI @antoinedemathelin This is my setup to call DANN function Case1 : DANN "model_DANN = adapt.feature_based.DANN(encoder=get_model_encode(), task=get_model_task(), discriminator=get_model_descriminator(), Xt=data_target) #train DANN model_DANN.fit(data_source, epochs=1, batch_size=128)" I am trying to follow the...

sreenivasaupadhyaya

antoinedemathelin

Issue with FA.score "'FA' object has no attribute 'n_domains_'"

1

--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_13888/463825728.py in 12 13 model_FE = FA(X_src, y_src, X_tgt_train, y_tgt_train) ---> 14 FE_scores.append(model_FE.score(X_tgt_test, y_tgt_test)) 15 C = model_FE.estimator_.coef_ 16 src_sumCoef.append( np.sum(np.abs(C[0:X_tgt_test.shape[1]])) ) ~\anaconda3\lib\site-packages\adapt\base.py...

ymouad

Last batch should be of same length than others. We should use `.repeat` and then `.take` to get same length dataset with same size of batch for all batches. Additionaly,...

antoinedemathelin

Some estimator based methods as FA can easily handle sparse array. Maybe KMM, KLIEP, LDM, NNW if pairwise distances can be computed

antoinedemathelin

antoinedemathelin

LDM, KMM tests fail on windows-latest

antoinedemathelin

antoinedemathelin