easypheno
Subpackages
easypheno.evaluation
easypheno.model
easypheno.model._base_model
easypheno.model._bayesfromR
easypheno.model._bayesian_linreg
easypheno.model._model_functions
easypheno.model._param_free_base_model
easypheno.model._sklearn_model
easypheno.model._template_sklearn_model
easypheno.model._template_tensorflow_model
easypheno.model._template_torch_model
easypheno.model._tensorflow_model
easypheno.model._torch_model
easypheno.model.bayesAfromR
easypheno.model.bayesBfromR
easypheno.model.bayesCfromR
easypheno.model.bayes_ridge
easypheno.model.blup
easypheno.model.cnn
easypheno.model.elasticnet
easypheno.model.linearregression
easypheno.model.localcnn
easypheno.model.mlp
easypheno.model.randomforest
easypheno.model.svm
easypheno.model.xgboost
easypheno.optimization
easypheno.postprocess
easypheno.preprocess
easypheno.simulate
easypheno.utils
Submodules
Package Contents
- easypheno.__version__ = 0.0.3
- easypheno.__author__ = Florian Haselbeck, Maura John, Dominik G. Grimm
- easypheno.__credits__ = GrimmLab @ TUM Campus Straubing (https://bit.cs.tum.de/)