def table_total(update, context):
data = main.read_csv()
table_string = main.get_table_total(data)
context.bot.send_message(chat_id=update.effective_chat.id,
text=table_string)
logging.info(" -- table total after request sent")
def test_read_csv2():
assert read_csv('test2.csv') == [
['house', 'origin', 'color', 'enemy'],
['Atreides', 'Atreus', 'green', 'Harkonnen'],
['Harkonnen', 'Hakkon', 'red', 'Atreides'],
['Ordos', 'Ordus', 'green', 'Everyone'],
['Boro', 'Camie', 'yellow', 'Atreides'],
['Corrino', 'Padisha', 'bronze', 'Harkonnen']
]
def __init__(self, parent=None):
"""Start."""
# Step 1: Reading the data from the csv file
x, y, n, m = mn.read_csv('Q1a.csv')
# Take some random weights with the size(number of attributes+1)
# w = np.random.uniform(low=0.5, high=13.3, size=(m+1))
w = [0.45, 0.862, -2.15]
w = np.array(w)
w = self.perceptron_computation(x, y, w)
self.plot_graphs(x, y, w)
def __init__(self, parent=None):
"""Start."""
# Step 1: Reading the data from the csv file
x, y, self.n, m = mn.read_csv('regdata.csv')
# Take some random weights with the size(number of attributes+1)
# w = np.random.uniform(low=0.5, high=13.3, size=(m+1))
w = [0.45, 0.862, -2.15]
w = np.array(w)
# Step 2: Scaling the attributes.
x, y = self.scale_attributes(x, y)
# Step 3: Compute the error at each iteration and save the error values in vector.
error_vector, w = self.regression_computation(x, y, w)
print "Final weights: ", w
# Step 4: Plot the error vector as a curve in the end.
self.plot_graphs(error_vector)
def f_vs_j(update, context):
data = main.read_csv()
f_vs_j_string = main.franken_vs_jecken(data)
context.bot.send_message(chat_id=update.effective_chat.id,
text=f_vs_j_string)
logging.info(" -- franken_vs_jecken after request sent")
def test_read_csv():
assert read_csv('test1.csv') == [['name', 'age', 'eye colour'],
['Bob', '5', 'blue'],
['Mary', '27', 'brown'],
['Vij', '54', 'green']]
def test_read_csv3():
assert read_csv('test3.csv') == []
def test_read_csv2():
assert read_csv('test2.csv') == [
['house', 'origin', 'color', 'enemy'],
['Atreides', 'Atreus', 'green', 'Harkonnen'],
['Harkonnen', 'Hakkon', 'red', 'Atreides'],
['Ordos', 'Ordus', 'green', 'Everyone'],
['Boro', 'Camie', 'yellow', 'Atreides'],
['Corrino', 'Padisha', 'bronze', 'Harkonnen']
]
def test_read_csv3():
assert read_csv('test3.csv') == []
table = read_csv('test1.csv')
table2 = read_csv('test2.csv')
table3 = read_csv('test3.csv')
def test_header_map_1():
hmap = header_map(table[0])
assert hmap == {'name': 0, 'age': 1, 'eye colour': 2}
def test_header_map_2():
hmap = header_map(table2[0])
assert hmap == {'house': 0, 'origin': 1, 'color': 2, 'enemy': 3}
def test_header_map_3():