ea_dataset
KlinkerDataset
dataclass
Helper class to hold info of benchmark datasets.
Source code in klinker/data/ea_dataset.py
18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 |
|
from_sylloge(dataset, clean=False)
classmethod
Create a klinker dataset from sylloge dataset.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
dataset |
EADataset
|
EADataset: Sylloge dataset. |
required |
clean |
bool
|
bool: Clean attribute information. |
False
|
Returns:
Type | Description |
---|---|
KlinkerDataset
|
klinker dataset |
Examples:
>>> # doctest: +SKIP
>>> from sylloge import MovieGraphBenchmark
>>> ds = KlinkerDataset.from_sylloge(MovieGraphBenchmark())
Source code in klinker/data/ea_dataset.py
28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
|
sample(size)
Get a sample of the dataset.
Note
Currently this only takes the first n entities of the gold standard.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
size |
int
|
int: size of the sample |
required |
Returns:
Type | Description |
---|---|
KlinkerDataset
|
sampled klinker dataset |
Examples:
>>> # doctest: +SKIP
>>> from sylloge import MovieGraphBenchmark
>>> ds = KlinkerDataset.from_sylloge(MovieGraphBenchmark())
>>> sampled = ds.sample(10)
Source code in klinker/data/ea_dataset.py
100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 |
|