modify attributes in config class to read-only

Author: supercoderhawk

python/dnlp/config/config.py

@@ -3,13 +3,106 @@
 
 class DnnCrfConfig(object):
   def __init__(self, *, skip_left: int = 1, skip_right: int = 1, embed_size: int = 100, hidden_units: int = 150,
-               learning_rate: float = 0.2, lam: float = 1e-4,dropout_rate:float=0.2, batch_length: int = 100, batch_size=20):
-    self.skip_left = skip_left
-    self.skip_right = skip_right
-    self.embed_size = embed_size
-    self.hidden_units = hidden_units
-    self.learning_rate = learning_rate
-    self.lam = lam
-    self.dropout_rate = dropout_rate
-    self.batch_length = batch_length
-    self.batch_size = batch_size
+               learning_rate: float = 0.2, lam: float = 1e-4, dropout_rate: float = 0.2, batch_length: int = 100,
+               batch_size=20):
+    self.__skip_left = skip_left
+    self.__skip_right = skip_right
+    self.__embed_size = embed_size
+    self.__hidden_units = hidden_units
+    self.__learning_rate = learning_rate
+    self.__lam = lam
+    self.__dropout_rate = dropout_rate
+    self.__batch_length = batch_length
+    self.__batch_size = batch_size
+
+  @property
+  def skip_left(self):
+    return self.__skip_left
+
+  @property
+  def skip_right(self):
+    return self.__skip_right
+
+  @property
+  def embed_size(self):
+    return self.__embed_size
+
+  @property
+  def hidden_units(self):
+    return self.__hidden_units
+
+  @property
+  def learning_rate(self):
+    return self.__learning_rate
+
+  @property
+  def lam(self):
+    return self.__lam
+
+  @property
+  def dropout_rate(self):
+    return self.__dropout_rate
+
+  @property
+  def batch_length(self):
+    return self.__batch_length
+
+  @property
+  def batch_size(self):
+    return self.__batch_size
+
+
+class MMTNNConfig(object):
+  def __init__(self, *, skip_left: int = 2, skip_right: int = 2, character_embed_size: int = 50,
+               label_embed_size: int = 50, hidden_unit: int = 150, learning_rate: float = 0.2, lam: float = 10e-4,
+               dropout_rate: float = 0.4, batch_length: int = 150, batch_size: int = 20):
+    self.__skip_left = skip_left
+    self.__skip_right = skip_right
+    self.__character_embed_size = character_embed_size
+    self.__label_embed_size = label_embed_size
+    self.__hidden_unit = hidden_unit
+    self.__learning_rate = learning_rate
+    self.__lam = lam
+    self.__dropout_rate = dropout_rate
+    self.__batch_length = batch_length
+    self.__batch_size = batch_size
+
+  @property
+  def skip_left(self):
+    return self.__skip_left
+
+  @property
+  def skip_right(self):
+    return self.__skip_right
+
+  @property
+  def character_embed_size(self):
+    return self.__character_embed_size
+
+  @property
+  def label_embed_size(self):
+    return self.__label_embed_size
+
+  @property
+  def hidden_unit(self):
+    return self.__hidden_unit
+
+  @property
+  def learning_rate(self):
+    return self.__learning_rate
+
+  @property
+  def lam(self):
+    return self.__lam
+
+  @property
+  def dropout_rate(self):
+    return self.__dropout_rate
+
+  @property
+  def batch_length(self):
+    return self.__batch_length
+
+  @property
+  def batch_size(self):
+    return self.__batch_size