874382bfb96b92dcfdd6326ba83c54ad1e9d42f2,codes/2-basics_in_machine_learning/linear_regression/code/linear_regression.py,,,#,11

Before Change

// Data file provided by the Stanford course CS 20SI: TensorFlow for Deep Learning Research.
// https://github.com/chiphuyen/tf-stanford-tutorials
DATA_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)),"data/fire_theft.xls")

// read the data from the .xls file.
book = xlrd.open_workbook(DATA_FILE, encoding_override="utf-8")
sheet = book.sheet_by_index(0)
data = np.asarray([sheet.row_values(i) for i in range(1, sheet.nrows)])
num_samples = sheet.nrows - 1

//////////////////////////////////////////////
//// Defining flags //////////

After Change

XX = np.arange(n)
rs = check_random_state(0)
YY = rs.randint(-20, 20, size=(n,)) + 2.0 * XX
data = np.stack([XX,YY], axis=1)

//////////////////////////////////////////////
//// Defining flags //////////
//////////////////////////////////////////////

Instances