Fix:Minor(Config)

Author: abilng

config/CNN/NP/model_conf.json

@@ -41,8 +41,7 @@
 			"scale_by" : 0.5,
 			"min_derror_decay_start" : 0.05,
 			"min_derror_stop" : 0.05,
-			"min_epoch_decay_start" : 15,
-			"init_error" :100
+			"min_epoch_decay_start" : 15
 		},
 
 	"processes":{

config/CNN/T/model_conf.json

@@ -41,8 +41,7 @@
 			"scale_by" : 0.5,
 			"min_derror_decay_start" : 0.05,
 			"min_derror_stop" : 0.05,
-			"min_epoch_decay_start" : 15,
-			"init_error" :100
+			"min_epoch_decay_start" : 15
 	},
 
 	"processes":{

config/DBN/README.md

@@ -23,16 +23,15 @@ Model Config
 >> 2. E:  Exponential decay.
 * `finetune_rate` : Configuration of learning method.Contains a json object with following params
 
-> param | description | default value  |learning method 
-> :-----|:------------|:--------------:|:---------------:
-> `learning_rate` ||0.08 | C
-> `epoch_num` ||10 | C
-> `start_rate` ||0.08 | E
-> `scale_by`  ||0.5 | E
-> `min_derror_decay_start` ||0.05 | E
-> `min_derror_stop` ||0.05 | E
-> `min_epoch_decay_start` || 15 | E
-> `init_error` || 100 | E
+> param 					| description | default value  |learning method 
+> :-------------------------|:------------|:--------------:|:---------------:
+> `learning_rate` 			||0.08 | C
+> `epoch_num` 				||10 | C
+> `start_rate` 				||0.08 | E
+> `scale_by`  				||0.5 | E
+> `min_derror_decay_start` 	||0.05 | E
+> `min_derror_stop` 		||0.05 | E
+> `min_epoch_decay_start` 	|| 15 | E
 
 * `finetune_momentum` :  The momentum factor while finetuning
 * `export_path` : path (realative to `wdir`) for writting (bottleneck) features.
@@ -74,4 +73,4 @@ Each one is a json object with following fields:
 * `reader_type` : (Mandatory) Type of reader NP/T1/T2.
 * `dim_shuffle` : how to use reshape given fatten vector.Used only `keep_flatten` is `false`
 
-________________________________________________________________________________________________________________
+_____________________________________________________________________________________________________________

config/DBN/model_conf.json

@@ -45,8 +45,7 @@
 	"scale_by" : 0.5,
 	"min_derror_decay_start" : 0.05,
 	"min_derror_stop" : 0.05,
-	"min_epoch_decay_start" : 15,
-	"init_error" :100
+	"min_epoch_decay_start" : 15
     },
 
     "comment" : "finetune_momentum ::  Specify the momentum factor while finetuning",

config/DNN/model_conf.json

@@ -38,8 +38,7 @@
 	"scale_by" : 0.5,
 	"min_derror_decay_start" : 0.05,
 	"min_derror_stop" : 0.05,
-	"min_epoch_decay_start" : 15,
-	"init_error" :100
+	"min_epoch_decay_start" : 15
     },
 
     "comment" : "finetune_momentum ::  Specify the momentum factor while finetuning",

config/SDA/model_conf.json

@@ -43,8 +43,7 @@
 	"scale_by" : 0.5,
 	"min_derror_decay_start" : 0.05,
 	"min_derror_stop" : 0.05,
-	"min_epoch_decay_start" : 15,
-	"init_error" :100
+	"min_epoch_decay_start" : 15
     },
 
     "comment" : "finetune_momentum ::  Specify the momentum factor while finetuning",

utils/learn_rates.py

@@ -41,14 +41,12 @@ class LearningRateExpDecay(LearningRate):
 	def __init__(self,kwargs, decay=False, zero_rate = 0.0):
 
 		self.start_rate = kwargs['start_rate']
-		self.init_error = kwargs['init_error']
-		
 		self.rate = kwargs['start_rate']
 		self.scale_by = kwargs['scale_by']
 		self.min_derror_decay_start = kwargs['min_derror_decay_start']
 		self.min_derror_stop = kwargs['min_derror_stop']
-		self.lowest_error = kwargs['init_error']
 		self.min_epoch_decay_start = kwargs['min_epoch_decay_start']
+		self.lowest_error = float('Inf')
 		self.epoch = 1
 		self.decay = decay
 		self.zero_rate = zero_rate

utils/load_conf.py

@@ -323,7 +323,6 @@ def initModelDNN(data):
 			lrate_config['min_derror_decay_start'] = 0.05
 			lrate_config['min_derror_stop'] = 0.05
 			lrate_config['min_epoch_decay_start'] = 15
-			lrate_config['init_error'] = 100
 		data['finetune_rate']=lrate_config
 	return data