Python getLvl1ModelList 예제들

예제 #1

파일: genEns_BagsSubjects.py 프로젝트: Keesiu/meta-kaggle

######
cols = getEventNames()

ids = np.load('../infos_test.npy')
subjects_test = ids[:, 1]
series_test = ids[:, 2]
ids = ids[:, 0]
labels = np.load('../infos_val.npy')
subjects = labels[:, -2]
series = labels[:, -1]
labels = labels[:, :-2]

allCols = list(range(len(cols)))

# ## loading prediction ###
files = getLvl1ModelList()

preds_val = OrderedDict()
for f in files:
    loadPredictions(preds_val, f[0], f[1])
# validity check
for m in ensemble:
    assert(m in preds_val)

# ## train/test ###
aggr = createEnsFunc(ensemble)
dataTrain = aggr(preds_val)
preds_val = None

# switch to add subjects
if addSubjectID:

예제 #2

파일: genEns_BagsSubjects.py 프로젝트: SherazKhan/Grasp-and-lift-EEG-challenge

######
cols = getEventNames()

ids = np.load('../infos_test.npy')
subjects_test = ids[:, 1]
series_test = ids[:, 2]
ids = ids[:, 0]
labels = np.load('../infos_val.npy')
subjects = labels[:, -2]
series = labels[:, -1]
labels = labels[:, :-2]

allCols = range(len(cols))

# ## loading prediction ###
files = getLvl1ModelList()

preds_val = OrderedDict()
for f in files:
    loadPredictions(preds_val, f[0], f[1])
# validity check
for m in ensemble:
    assert(m in preds_val)

# ## train/test ###
aggr = createEnsFunc(ensemble)
dataTrain = aggr(preds_val)
preds_val = None

# switch to add subjects
if addSubjectID: