Testing example programs.

example_run.py

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+import pandas as pd
+import transmorgrify
+
+#load inference data
+inference_data = pd.read_csv( "phonetics_out_gpu_4000.csv" )
+
+#Load the model
+my_model = transmorgrify.Transmorgrifier()
+my_model.load( "my_model.tm" )
+
+#do the inference
+#model returns a generator so wrap it with a list
+for result in my_model.execute( inference_data["in_data"] ):
+    print( result )
+
+
+# results = list( my_model.execute( inference_data["in_data"] ) )
+
+# print( results )

example_train.py

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+import pandas as pd
+import transmorgrify
+
+#load training data
+train_data = pd.read_csv( "phonetics_out_gpu_4000.csv" )[0:100]
+
+#do the training
+my_model = transmorgrify.Transmorgrifier()
+my_model.train( 
+    from_sentances=train_data["in_data"], 
+    to_sentances=train_data["out_data"],
+    iterations=100,  )
+
+#save the results
+my_model.save( "my_model.tm" )