diff --git a/README.md b/README.md index 99bc36b..538e75a 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ This file provides the instructions to replicate the results of this project fro 3. A native/virtual python environment. Install the dependencies from `requirements.txt` using :
`pip install -r requirements.txt`
-## Step 1: Data Preparation: +## Data Preparation: The model uses a synteny matrix and some other factors derived from the species tree to make predictions.
**Download The Required Files:** So as to prepare data we will need the following files:
@@ -66,3 +66,8 @@ Run:
`python finalize_dataset.py name_of_negative_database_you_earlier_processed`
IF YOU DID EVERYTHING RIGHT YOU SHOULD SEE A FILE NAMED `dataset` IN THE SAME DIRECTORY.
+ +## Train the Model: +This is where it gets interesting. You are gonna train your own model architecture or you can use the one given in the `model.py` script. You can directly change the model as well in the `model.py`.
+To train the model, run:
+`python train.py negative_start_composition negative_end_composition epochs learning_rate learning_rate_decay no_of_samples batch_size`