priyatham/compara-deep-learning
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@ -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 :<br/>
`pip install -r requirements.txt`<br/>
## Step 1: Data Preparation:
## Data Preparation:
The model uses a synteny matrix and some other factors derived from the species tree to make predictions. <br/>
**Download The Required Files:**
So as to prepare data we will need the following files:<br/>
@ -66,3 +66,8 @@ Run:<br/>
`python finalize_dataset.py name_of_negative_database_you_earlier_processed`<br/>
IF YOU DID EVERYTHING RIGHT YOU SHOULD SEE A FILE NAMED `dataset` IN THE SAME DIRECTORY.<br/>
## 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`.<br/>
To train the model, run:<br/>
`python train.py negative_start_composition negative_end_composition epochs learning_rate learning_rate_decay no_of_samples batch_size`<br/>