mstampfer / coursera-stanford-ml-python Goto Github PK

File "submit.py", line 57, in <module>
    s.submit()
  File "/home/shubo/Desktop/Coursera-Stanford-ML-Python/Submission.py", line 37, in submit
    partFeedback = response['partFeedbacks'][part]
KeyError: 'partFeedbacks'

if part_id == 1:
        idx = func(X, C)
        return sprintf('%0.5f ', idx[1]+1)

An exception of type KeyError occured. Messsage:
("'__name__' not in globals",)

Traceback (most recent call last):
  File "submit.py", line 58, in <module>
    s.submit()
  File "/Users/shaharb/kaggle/ml_coursera/Coursera-Stanford-ML-Python-master/Submission.py", line 27, in submit
    parts[str(part_id)] = {'output': self.__output(part_id)}
  File "submit.py", line 39, in output
    mod = __import__(fname, fromlist=[fname], level=1)
KeyError: "'__name__' not in globals"

AttributeError: 'NoneType' object has no attribute 'scatter'

import datetime
import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots()
t2=[datetime.datetime(1970,1,1),datetime.datetime(2000,1,1)]
xend = datetime.datetime.now()
yy= [0, 1]
ax.plot(t2, yy, linestyle='none', marker='s', 
    markerfacecolor='cornflowerblue', 
    markeredgecolor='black',
    markersize=7,
    label='my scatter plot')

print("lim is {0}".format(xend))
ax.set_xlim(left=datetime.datetime(1960,1,1), right=xend)
ax.set_ylim(bottom=-1, top=2)
ax.set_xlabel('Date')
ax.set_ylabel('Value')
ax.legend(loc='upper left')
fig.show()

def plotData(data):
    """
    plots the data points and gives the figure axes labels of
    population and profit.
    """

    # ====================== YOUR CODE HERE ======================
    # Instructions: Plot the training data into a figure using the
    #               "figure" and "plot" commands. Set the axes labels using
    #               the "xlabel" and "ylabel" commands. Assume the
    #               population and revenue data have been passed in
    #               as the x and y arguments of this function.
    #
    # Hint: You can use the 'rx' option with plot to have the markers
    #       appear as red crosses. Furthermore, you can make the
    #       markers larger by using plot(..., 'rx', 'MarkerSize', 10);
    # ============================================================
    #plt.figure()  # open a new figure window
    raise NotImplementedError