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Commit 8d1a3525 authored by tomrink's avatar tomrink
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...@@ -13,18 +13,15 @@ from icing.pirep_goes import split_data, normalize ...@@ -13,18 +13,15 @@ from icing.pirep_goes import split_data, normalize
LOG_DEVICE_PLACEMENT = False LOG_DEVICE_PLACEMENT = False
CACHE_DATA_IN_MEM = True CACHE_DATA_IN_MEM = True
CACHE_GFS = True
PROC_BATCH_SIZE = 60 PROC_BATCH_SIZE = 60
PROC_BATCH_BUFFER_SIZE = 50000 PROC_BATCH_BUFFER_SIZE = 50000
NumLabels = 1 NumLabels = 1
BATCH_SIZE = 256 BATCH_SIZE = 512
NUM_EPOCHS = 200 NUM_EPOCHS = 200
TRACK_MOVING_AVERAGE = False TRACK_MOVING_AVERAGE = False
DAY_NIGHT = 'ANY'
TRIPLET = False TRIPLET = False
CONV3D = False CONV3D = False
...@@ -159,7 +156,7 @@ class IcingIntensityNN: ...@@ -159,7 +156,7 @@ class IcingIntensityNN:
self.inputs.append(self.X_img) self.inputs.append(self.X_img)
#self.inputs.append(self.X_prof) #self.inputs.append(self.X_prof)
self.DISK_CACHE = True self.DISK_CACHE = False
if datapath is not None: if datapath is not None:
self.DISK_CACHE = False self.DISK_CACHE = False
...@@ -380,7 +377,7 @@ class IcingIntensityNN: ...@@ -380,7 +377,7 @@ class IcingIntensityNN:
self.logits = logits self.logits = logits
def build_training(self): def build_training(self):
self.loss = tf.keras.losses.BinaryCrossentropy(from_logits=True) # for two-class only self.loss = tf.keras.losses.BinaryCrossentropy(from_logits=False) # for two-class only
#self.loss = tf.keras.losses.SparseCategoricalCrossentropy() # For multi-class #self.loss = tf.keras.losses.SparseCategoricalCrossentropy() # For multi-class
# decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps) # decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps)
......
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