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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def main(model_folder, override=False):
 """Parse the info.yml from ``model_folder`` and create the model file."""

    model_description_file = os.path.join(model_folder, "info.yml")
    # Read the model description file
    with open(model_description_file, 'r') as ymlfile:
        model_description = yaml.load(ymlfile)

    project_root = utils.get_project_root()
    # Read the feature description file
    feature_folder = os.path.join(project_root,
                                  model_description['data-source'])
    with open(os.path.join(feature_folder, "info.yml"), 'r') as ymlfile:
        feature_description = yaml.load(ymlfile)
    # Get a list of all used features
    feature_list = features.get_features(feature_description['features'])
    # Get the dimension of the feature vector
    input_features = sum(map(lambda n: n.get_dimension(), feature_list))
    logging.info("Number of features: %i", input_features)

    # Analyze model
    logging.info(model_description['model'])
    if model_description['model']['type'] != 'mlp':
        return
    create_model(model_folder,
                 model_description['model']['type'],
                 model_description['model']['topology'],
                 override)
    utils.create_run_logfile(model_folder)