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Merged
mfeurer merged 16 commits into from
May 20, 2021
Merged

Release 0.12.2 #1087

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dafe5ac
Configuration ci (#1049)
PGijsbers Apr 20, 2021
6b71981
Speed up dataset unit tests (#1056)
mfeurer Apr 21, 2021
10c9dc5
Fix documentation links (#1048)
mfeurer Apr 21, 2021
62014cd
Convert sparse labels to pandas series (#1059)
Neeratyoy Apr 26, 2021
6e8a9db
Adding warnings to all examples switching to a test server (#1061)
Neeratyoy Apr 29, 2021
968e251
Create dedicated extensions page (#1068)
mfeurer May 4, 2021
b0e944d
Remove E500 from list of exception to raise (#1071)
PGijsbers May 4, 2021
97d67e7
Add a Docker Image for testing and doc building in an isolated enviro…
PGijsbers May 7, 2021
a505162
Create a non-linear retry policy. (#1065)
PGijsbers May 10, 2021
3aee2e0
Fetch before checkout (#1079)
PGijsbers May 12, 2021
c8cfc90
doc update (#1077)
sahithyaravi May 14, 2021
bb17e72
Rename master to main (#1076)
mfeurer May 17, 2021
79e647d
Extend extensions page (#1080)
janvanrijn May 18, 2021
0b786e4
Don't fail when Parquet server can't be reached (#1085)
PGijsbers May 19, 2021
68f51a9
Allow tasks to be downloaded without dataqualities (#1086)
PGijsbers May 20, 2021
b0765a5
prepare release 0.12.2 (#1082)
mfeurer May 20, 2021
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Speed up dataset unit tests (#1056) 
* Speed up dataset unit tests

by only loading necessary datasets

* Revert "Speed up dataset unit tests"

This reverts commit 861b52d.

* address suggestions from Pieter
  • Loading branch information
@mfeurer
mfeurer authored Apr 21, 2021
commit 6b719819f8614b3f72c9c8af131b782086b64d0e
40 changes: 35 additions & 5 deletions tests/test_datasets/test_dataset.py
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Expand Up @@ -24,13 +24,43 @@ def setUp(self):

# Load dataset id 2 - dataset 2 is interesting because it contains
# missing values, categorical features etc.
self.dataset = openml.datasets.get_dataset(2, download_data=False)
self._dataset = None
# titanic as missing values, categories, and string
self.titanic = openml.datasets.get_dataset(40945, download_data=False)
self._titanic = None
# these datasets have some boolean features
self.pc4 = openml.datasets.get_dataset(1049, download_data=False)
self.jm1 = openml.datasets.get_dataset(1053, download_data=False)
self.iris = openml.datasets.get_dataset(61, download_data=False)
self._pc4 = None
self._jm1 = None
self._iris = None

@property
def dataset(self):
if self._dataset is None:
self._dataset = openml.datasets.get_dataset(2, download_data=False)
return self._dataset

@property
def titanic(self):
if self._titanic is None:
self._titanic = openml.datasets.get_dataset(40945, download_data=False)
return self._titanic

@property
def pc4(self):
if self._pc4 is None:
self._pc4 = openml.datasets.get_dataset(1049, download_data=False)
return self._pc4

@property
def jm1(self):
if self._jm1 is None:
self._jm1 = openml.datasets.get_dataset(1053, download_data=False)
return self._jm1

@property
def iris(self):
if self._iris is None:
self._iris = openml.datasets.get_dataset(61, download_data=False)
return self._iris

def test_repr(self):
# create a bare-bones dataset as would be returned by
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