adapt
Installation
Installation
Github
Tutorials
Choosing the right algorithm
Quick-Start
API Documentation
Feature-based
FA
CORAL
SA
fMMD
DeepCORAL
DANN
ADDA
WDGRL
CDAN
MCD
MDD
CCSA
Instance-based
LDM
KLIEP
KMM
NearestNeighborsWeighting
TrAdaBoost
TrAdaBoostR2
TwoStageTrAdaBoostR2
WANN
Parameter-based
RegularTransferLR
RegularTransferLC
RegularTransferNN
FineTuning
TransferTreeClassifier
TransferForestClassifier
Metrics
make_uda_scorer
cov_distance
neg_j_score
linear_discrepancy
normalized_linear_discrepancy
frechet_distance
normalized_frechet_distance
domain_classifier
reverse_validation
Utility Functions
UpdateLambda
accuracy
check_arrays
check_estimator
check_network
get_default_encoder
get_default_task
get_default_discriminator
GradientHandler
make_classification_da
make_regression_da
check_sample_weight
set_random_seed
check_fitted_estimator
check_fitted_network
Synthetic Examples
Classification
Experimental Setup
Src Only
DANN
Instance Based
Two Moons
Setup
Network
Source Only
DANN
ADDA
DeepCORAL
CORAL
MCD
MDD
WDGRL
CDAN
Rotation
Setup
Source Only
CORAL
DANN
ADDA
Toy Regression
Experimental Setup
TGT Only
Src Only
All
CORAL
TrAdaBoostR2
RegularTransferNN
Sample Bias 1D
Setup
KMM
KLIEP
Sample Bias 2D
Setup
Estimator
Source Only
KMM
KLIEP
Multi-Fidelity
Setup
Network
Low fidelity only
High fidelity only
RegularTransferNN
Real Examples
Sample Bias
Diabetes Dataset
Sample bias correction
Features importance
Fine-Tuning
Train from Scratch
Model-based Transfer
Deep Domain Adaptation
Dataset Preprocessing
Fit without adaptation
Fit with adaptation
TrAdaBoost Experiments
Mushrooms
20-NewsGroup
adapt
»
Parameter-based
Parameter-based
adapt.parameter_based
.RegularTransferLR
adapt.parameter_based
.RegularTransferLC
adapt.parameter_based
.RegularTransferNN
Multi-Fidelity
Toy Regression