Update README.md

README.md

@@ -29,7 +29,7 @@ Model inputs (x):
 Encoder output (y):
 * Two 1xN one-hot encoded classification vectors that predicts sample type and treatment applied.
 
-To run encoding, use `python train_encoder.py`. This is subject to change later when the decoder is actually operational and there is a need to distinguish the training code file names.
+To run encoding, use`python train_model.py` with `train_decoder=true` in the parameters file.
 
 ### Decoding
 Required Inputs:
@@ -41,7 +41,7 @@ Model inputs (y):
 Decoder output (x'):
 * One 133x35 matrix that can be split into 130x35 spectra, 1x35 backscatter brightness, normalized standard deviation, and foreground pixel count.
 
-To run decoding, use `python decodertest.py`. This is subject to change later as this is only a "test" version of the decoder training workflow.
+To run decoding, use `python train_model.py` with `train_decoder=true` in the parameters file.
 
 ### Model evaluation tool