def test_experiment_hotel_bookings(self):
papermill.execute_notebook(
"Experiment.ipynb",
"/dev/null",
parameters=dict(
dataset="/tmp/data/hotel_bookings.csv",
target="is_canceled",
date="reservation_status_date",
group=["hotel"],
budget=20,
),
)
papermill.execute_notebook(
"Deployment.ipynb",
"/dev/null",
)
data = datasets.hotel_bookings_testdata()
with server.Server() as s:
response = s.test(data=data)
names = response["names"]
print(names)
ndarray = response["ndarray"]
self.assertEqual(len(ndarray[0]), 110) # 31 original features + 79 new features
self.assertEqual(len(names), 110)
def test_experiment_hotel_bookings(self):
papermill.execute_notebook(
"Experiment.ipynb",
"/dev/null",
parameters=dict(
dataset="/tmp/data/hotel_bookings.csv",
target="is_canceled",
strategy_num="mean",
strategy_cat="most_frequent",
fillvalue_num=0,
fillvalue_cat="",
),
)
papermill.execute_notebook(
"Deployment.ipynb",
"/dev/null",
)
data = datasets.hotel_bookings_testdata()
with server.Server() as s:
response = s.test(data=data)
names = response["names"]
ndarray = response["ndarray"]
self.assertEqual(len(ndarray[0]), 31) # 31 features
self.assertEqual(len(names), 31)
def test_hotel_bookings(self):
papermill.execute_notebook(
"Experiment.ipynb",
"/dev/null",
parameters=dict(
dataset="/tmp/data/hotel_bookings.csv",
filter_type = "remover",
model_features = "is_canceled",
max_samples="auto",
contamination=0.1,
max_features=1.0,
),
)
papermill.execute_notebook(
"Deployment.ipynb",
"/dev/null",
)
data = datasets.hotel_bookings_testdata()
with server.Server() as s:
response = s.test(data=data)
names = response["names"]
ndarray = response["ndarray"]
self.assertEqual(len(ndarray[0]), 32) # 31 features + 1 anomaly score
self.assertEqual(len(names), 32)
def test_hotel_bookings(self):
papermill.execute_notebook(
"Experiment.ipynb",
"/dev/null",
parameters=dict(
dataset="/tmp/data/hotel_bookings.csv",
target="is_canceled",
high_cardinality_features="hotel",
method="kmeans",
threshold=0.1,
n=10,
),
)
papermill.execute_notebook(
"Deployment.ipynb",
"/dev/null",
)
data = datasets.hotel_bookings_testdata()
with server.Server() as s:
response = s.test(data=data)
names = response["names"]
ndarray = response["ndarray"]
self.assertEqual(len(ndarray[0]), 31) # 31 features
self.assertEqual(len(names), 31)
def test_hotel_bookings(self):
papermill.execute_notebook(
"Experiment.ipynb",
"/dev/null",
parameters=dict(
dataset="/tmp/data/hotel_bookings.csv",
group_col="hotel",
period="mês",
date_col="reservation_status_date",
target_col="reservation_status",
),
)
papermill.execute_notebook(
"Deployment.ipynb",
"/dev/null",
)
data = datasets.hotel_bookings_testdata()
with server.Server() as s:
response = s.test(data=data)