def test_observation_attributes(self):
arena = dx.Arena()
arena.push_model(self.exp)
titanic = dx.datasets.load_titanic().iloc[1:20]
arena.push_observations(titanic) #with m2_price
arena.push_observations(self.john) #without m2_price
attrs = arena.get_params_attributes('observation')
attrs_name = list(map(lambda x: x.get('name'), attrs))
self.assertEqual(sorted(attrs_name), sorted(titanic.columns))
for attr in attrs:
self.assertTrue(
all(attr.get('values')[:-1] == titanic[attr.get('name')]))
def test_server(self):
arena = dx.Arena()
arena.push_model(self.exp)
arena.push_model(self.exp2)
port = get_free_port()
try:
arena.run_server(port=port)
time.sleep(2)
self.assertFalse(try_port(port))
arena.stop_server()
except AssertionError as e:
arena.stop_server()
raise e
def test_plots(self):
arena = dx.Arena()
arena.push_model(self.exp)
arena.push_observations(self.X.iloc[[1], ])
arena.fill_cache()
for p in self.reference_plots:
ref_counts = list(
map(lambda param_type: len(arena.list_params(param_type)),
p.info.get('requiredParams')))
count = np.sum([1 for plot in arena.cache if plot.__class__ == p])
self.assertEqual(np.prod(ref_counts),
count,
msg="Count of " + str(p))
def test_variable_attributes(self):
arena = dx.Arena()
arena.push_model(self.exp)
titanic = dx.datasets.load_titanic().iloc[1:20]
arena.push_observations(titanic)
attrs = {
k: arena.get_param_attributes('variable', k)
for k in self.X.columns
}
self.assertEqual(
attrs, {
'age': {
'type': 'numeric',
'min': 0.1666666667,
'max': 74.0,
'levels': None
},
'class': {
'type':
'categorical',
'min':
None,
'max':
None,
'levels': [
'1st', '2nd', '3rd', 'deck crew', 'engineering crew',
'restaurant staff', 'victualling crew'
]
},
'embarked': {
'type': 'categorical',
'min': None,
'max': None,
'levels':
['Belfast', 'Cherbourg', 'Queenstown', 'Southampton']
},
'fare': {
'type': 'numeric',
'min': 0.0,
'max': 512.0607,
'levels': None
},
'gender': {
'type': 'categorical',
'min': None,
'max': None,
'levels': ['female', 'male']
},
'parch': {
'type': 'numeric',
'min': 0,
'max': 9,
'levels': [0, 1, 2, 3, 4, 5, 6, 9]
},
'sibsp': {
'type': 'numeric',
'min': 0,
'max': 8,
'levels': [0, 1, 2, 3, 4, 5, 8]
}
})