Trigram model

gonito.yaml

@@ -0,0 +1,18 @@
+description: Trigram Neural Network Solution
+tags:
+  - neural-network
+  - right-right
+params:
+  vocab_size: 20000
+  embed_size: 200
+  batch_size: 5000
+  hidden_size: 100
+  context_size: 2
+  learning-rate: 2e-3
+  epochs: 2
+  top_k: 200
+unwanted-params:
+  - model-file
+  - vocab-file
+param-files:
+  - "*.yaml"

lm0.py

@@ -1,13 +0,0 @@
-#!/usr/bin/python3
-import sys
-for i, line in enumerate(sys.stdin):    
-    if(line.split('\t')[6].endswith('\n')):
-        print('hence:0.95 :0.05')
-    elif(line.split('\t')[6].endswith('ot')):
-        print('be:0.6 a:0.35 :0.05')
-    elif(line.split('\t')[6].endswith('.')):
-        print('but:0.85 :0.15')
-    elif([l.split(' ') for l in line.split('\t')][5][0].endswith('ing')):
-        print('this:0.88 :0.12')
-    else:
-        print('the:0.5 a:0.3 :0.2')