def run(
input_data_file):
"""
"""
# parameter values
intercept = 0.
slope = 0.
param_values = {"intercept": intercept,
"slope": slope}
# hypothesis object
hypo = SimpleLinearRegression()
hypo.initialize_parameters(param_values)
# name of file where data is stored
#file_name = 'data/input/ex1data1.txt'
# read in data
data = get_input_data(input_data_file)
# extract features
features = data[:, 0]
# reshape to dimension nobs x 1
features = features.reshape((len(features), 1))
# extract yvalues
yvalues = data[:, 1]
# reshape to dimension nobs x 1
yvalues = yvalues.reshape((len(yvalues), 1))
# cost function object
sel = SquaredErrorLoss(hypo, features, yvalues)
gd = GradientDescent(.0001, param_values, .000000001, sel)
gd.algorithm()
print gd.get_parameters()
