update frameworks

Author: suzhoum

sample_configs/resources/multimodal_frameworks.yaml

@@ -9,60 +9,85 @@ AutoGluon_branch:
       optimization.learning_rate: 0.005
 
 AutoGluon_best_master:
-  repo: https://github.com/autogluon/autogluon.git
-  version: master
+  repo: https://github.com/suzhoum/autogluon.git 
+  version: add_constant_lr_decay
   params:  # MultimodalPredictor.fit(params)
     presets: best_quality
-    time_limit: 90
+
+ablation_base:
+  repo: https://github.com/suzhoum/autogluon.git
+  version: add_constant_lr_decay
+  params:  # MultimodalPredictor.fit(params)
+    presets: best_quality
+    hyperparameters:
+        optimization.top_k_average_method: best
+        optimization.gradient_clip_val: 0
+        optimization.warmup_steps: 0
+        optimization.lr_schedule: constant
+        optimization.weight_decay: 0
+        optimization.lr_decay: 0
+
 
 ablation_greedy_soup:
-  repo: https://github.com/autogluon/autogluon.git
-  version: master
+  repo: https://github.com/suzhoum/autogluon.git
+  version: add_constant_lr_decay
   params:  # MultimodalPredictor.fit(params)
     presets: best_quality
     hyperparameters:
-      optimization.top_k_average_method: best
+        optimization.gradient_clip_val: 0
+        optimization.warmup_steps: 0
+        optimization.lr_schedule: constant
+        optimization.weight_decay: 0
+        optimization.lr_decay: 0
 
 ablation_gradient_clip:
-  repo: https://github.com/autogluon/autogluon.git
-  version: master
+  repo: https://github.com/suzhoum/autogluon.git
+  version: add_constant_lr_decay
   params:  # MultimodalPredictor.fit(params)
     presets: best_quality
     hyperparameters:
-      optimization.gradient_clip_algorithm: value
+        optimization.warmup_steps: 0
+        optimization.lr_schedule: constant
+        optimization.weight_decay: 0
+        optimization.lr_decay: 0
 
 ablation_warmup_steps:
-  repo: https://github.com/autogluon/autogluon.git
-  version: master
+  repo: https://github.com/suzhoum/autogluon.git
+  version: add_constant_lr_decay
   params:  # MultimodalPredictor.fit(params)
     presets: best_quality
     hyperparameters:
-      optimization.warmup_steps: 0.0
+        optimization.lr_schedule: constant
+        optimization.weight_decay: 0
+        optimization.lr_decay: 0
 
 ablation_cosine_decay:
-  repo: https://github.com/autogluon/autogluon.git
-  version: master
+  repo: https://github.com/suzhoum/autogluon.git
+  version: add_constant_lr_decay
   params:  # MultimodalPredictor.fit(params)
     presets: best_quality
     hyperparameters:
-      optimization.lr_schedule: polynomial_decay
+        optimization.weight_decay: 0
+        optimization.lr_decay: 0
+
 
 ablation_weight_decay:
-  repo: https://github.com/autogluon/autogluon.git
-  version: master
+  repo: https://github.com/suzhoum/autogluon.git
+  version: add_constant_lr_decay
   params:  # MultimodalPredictor.fit(params)
     presets: best_quality
     hyperparameters:
-      optimization.weight_decay: 0.0
+        optimization.lr_decay: 0
 
-ablation_cosine_decay:
-  repo: https://github.com/autogluon/autogluon.git
-  version: master
+
+ablation_lr_decay:
+  repo: https://github.com/suzhoum/autogluon.git
+  version: add_constant_lr_decay
   params:  # MultimodalPredictor.fit(params)
     presets: best_quality
-    hyperparameters:
-      optimization.lr_decay: 0.0 
-
 
-AutoKeras:
 
+autokeras_master:
+  repo: https://github.com/keras-team/keras-tuner.git 
+  version: master
+