kohlmeier

"""This script is hack to get a quick idea of how many mastery challenges
are being done under each mission.  It's hacky for a lot of reasons.. I
don't have time to list them all.  But here's a few. :)

*) The user_mission (and thus the mission) associated with each LearningTask
   is the mission at the time of the creation.  For MasteryChallenges, this
   may not be a problem-- I'm not sure.  But if this was extended to work
   on, say, PracticeTasks, a user could create the task in one mission, then
   switch missions and actually do the problems in another misison.  This
   script would not understand that.

kohlmeier

import collections
import numpy as np


class CompressedFeatures:

    def __init__(self, num_features=50):
        self.random_components = collections.defaultdict(
                self._generate_component)
        self.num_features = num_features

kohlmeier

#!/usr/bin/env python

from pandas import DataFrame, Series

import numpy as np
import math
import random
import copy

NaN_Flag = -1  # pandas uses np.nan, but that coerces ints to floats :(

kohlmeier

#!/usr/bin/env python

from numpy import asmatrix, asarray, ones, zeros, mean, sum, arange, prod, dot, loadtxt
from numpy.random import random, randint
import pickle

MISSING_VALUE = -1 # a constant I will use to denote missing integer values

def impute_hidden_node(E, I, theta, sample_hidden):