Exemple #1
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def user_var_change(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    delta = [(new - dead) for new,dead in adeadgained]
    return ca.make_feature('var_change', variance(delta))
Exemple #2
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def user_mean_dead(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    #for alive,dead in adeadtotal: print alive,",",dead
    return ca.make_feature('mean_alive_notes',mean( [dead for alive,dead in adeadtotal ] ))
Exemple #3
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def user_var_change(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    delta = [(new - dead) for new, dead in adeadgained]
    return ca.make_feature('var_change', variance(delta))
Exemple #4
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def user_percent_active_days(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    if (totDays <= 1 or activeDays <= 1): print '!!!!!!!!!!!!!!! ',userid,' has only 1 active day'        
    return ca.make_feature('percent_days_active',activeDays / (1.0*totDays))
Exemple #5
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def user_mean_day_add(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    return ca.make_feature('mean_new_notes_per_day',
                           mean([alive for alive, dead in adeadgained]))
Exemple #6
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def user_var_day_del(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    return ca.make_feature('var_del_notes_per_day',
                           variance([dead for alive, dead in adeadgained]))
Exemple #7
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def user_mean_dead(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    #for alive,dead in adeadtotal: print alive,",",dead
    return ca.make_feature('mean_alive_notes',
                           mean([dead for alive, dead in adeadtotal]))
Exemple #8
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def user_percent_active_days(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    if (totDays <= 1 or activeDays <= 1):
        print '!!!!!!!!!!!!!!! ', userid, ' has only 1 active day'
    return ca.make_feature('percent_days_active', activeDays / (1.0 * totDays))
Exemple #9
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def user_var_alive_percent(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    return ca.make_feature(
        'variance_alive_notes',
        variance([(alive / (1.0 * (alive + dead + 0.00001)))
                  for alive, dead in adeadtotal]))
Exemple #10
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def user_var_day_del(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    return ca.make_feature('var_del_notes_per_day',variance([dead for alive,dead in adeadgained ] ))
Exemple #11
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def user_notes_owned(user):
    return ca.make_feature('user_notes_owned',Note.objects.filter(owner=user).count())
Exemple #12
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def user_mean_day_add(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    return ca.make_feature('mean_new_notes_per_day',mean([alive for alive,dead in adeadgained ] ))
Exemple #13
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def user_var_alive_percent(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    return ca.make_feature('variance_alive_notes',variance( [(alive/(1.0*(alive+dead+0.00001))) for alive,dead in adeadtotal ] ))
Exemple #14
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def user_searches_per_day(user):
    import jv3.study.ca_search 
    normed,adays = jv3.study.ca_search.searches_per_day(User.objects.filter(id=user))
    total = reduce(lambda x,y : x+y, normed.values(), 0)
    return ca.make_feature("user_searches_per_day", total)
Exemple #15
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def user_notes_owned(user):
    return ca.make_feature('user_notes_owned',
                           Note.objects.filter(owner=user).count())
Exemple #16
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def user_searches_per_day(user):
    import jv3.study.ca_search
    normed, adays = jv3.study.ca_search.searches_per_day(
        User.objects.filter(id=user))
    total = reduce(lambda x, y: x + y, normed.values(), 0)
    return ca.make_feature("user_searches_per_day", total)