rename MLAP files

jonasrothfuss · Jun 4, 2020 · 7098ca2 · 7098ca2
1 parent a011856
commit 7098ca2
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Showing 4 changed files with 4 additions and 4 deletions.
diff --git a/experiments/compuational_comparison.py b/experiments/compuational_comparison.py
@@ -37,7 +37,7 @@
                                          mean_nn_layers=NN_LAYERS, svi_batch_size=5,
                                          kernel_nn_layers=NN_LAYERS, cov_type='diag', normalize_data=True)
 
-    from meta_learn.GPR_meta_pac import GPRegressionMetaLearnedPAC
+    from meta_learn.GPR_meta_mlap import GPRegressionMetaLearnedPAC
 
     model_mlap = GPRegressionMetaLearnedPAC(meta_train_data, num_iter_fit=1000,
                                           svi_batch_size=5, covar_module='NN', mean_module='NN', mean_nn_layers=NN_LAYERS,

diff --git a/experiments/hyperparam_search/launch_hyperparam_sweeps.py b/experiments/hyperparam_search/launch_hyperparam_sweeps.py
@@ -10,7 +10,7 @@
 
 import experiments.hyperparam_search.meta_svgd_hyperparam as meta_svgd_hparam
 import experiments.hyperparam_search.meta_vi_hyperparam as meta_vi_hparam
-import experiments.hyperparam_search.meta_pac_hyperparam as meta_pac_hyperparam
+import experiments.hyperparam_search.meta_mlap_hyperparam as meta_pac_hyperparam
 
 from absl import flags
 from absl import app

diff --git a/.../hyperparam_search/meta_pac_hyperparam.py → ...hyperparam_search/meta_mlap_hyperparam.py b/.../hyperparam_search/meta_pac_hyperparam.py → ...hyperparam_search/meta_mlap_hyperparam.py
@@ -40,7 +40,7 @@ def train_reg(config, reporter):
         data_train, data_valid, _ = provide_data(dataset=args.dataset, seed=SEED)
 
         # 2) setup model
-        from meta_learn.GPR_meta_pac import GPRegressionMetaLearnedPAC
+        from meta_learn.GPR_meta_mlap import GPRegressionMetaLearnedPAC
         torch.set_num_threads(N_THREADS_PER_RUN)
 
         model = GPRegressionMetaLearnedPAC(data_train, **config)
@@ -74,7 +74,7 @@ def train_test(config):
             data_train, _, data_test = provide_data(dataset=args.dataset, seed=SEED)
 
             # 2) Fit model
-            from meta_learn.GPR_meta_pac import GPRegressionMetaLearnedPAC
+            from meta_learn.GPR_meta_mlap import GPRegressionMetaLearnedPAC
             torch.set_num_threads(N_THREADS_PER_RUN)
             with gpytorch.settings.max_cg_iterations(500):
                 model = GPRegressionMetaLearnedPAC(data_train, **config)

diff --git a/meta_learn/GPR_meta_pac.py → meta_learn/GPR_meta_mlap.py b/meta_learn/GPR_meta_pac.py → meta_learn/GPR_meta_mlap.py