merlin.datasets package
- class merlin.datasets.DatasetMetadata(name, description, features, num_instances, subset=None, num_features=None, normalization=None, task_type=<factory>, num_classes=None, characteristics=<factory>, homepage=None, license=None, citation=None, creators=<factory>, year=None, feature_relationships=None)
Bases:
object
-
characteristics:
list
[str
]
-
citation:
Optional
[str
] = None
-
creators:
list
[str
]
-
description:
str
-
feature_relationships:
Optional
[str
] = None
- classmethod from_dict(data)
- Return type:
-
homepage:
Optional
[str
] = None
-
license:
Optional
[str
] = None
-
name:
str
-
normalization:
Optional
[Normalization
] = None
-
num_classes:
Optional
[int
] = None
-
num_features:
int
= None
-
num_instances:
int
-
subset:
str
= None
-
task_type:
Optional
[list
[str
]]
- to_dict()
Convert the metadata to a dictionary format
- Return type:
dict
[str
,Any
]
-
year:
Optional
[int
] = None
-
characteristics:
Submodules
- merlin.datasets.metadata module
DatasetMetadata
DatasetMetadata.characteristics
DatasetMetadata.citation
DatasetMetadata.creators
DatasetMetadata.description
DatasetMetadata.feature_relationships
DatasetMetadata.features
DatasetMetadata.from_dict()
DatasetMetadata.homepage
DatasetMetadata.license
DatasetMetadata.name
DatasetMetadata.normalization
DatasetMetadata.num_classes
DatasetMetadata.num_features
DatasetMetadata.num_instances
DatasetMetadata.subset
DatasetMetadata.task_type
DatasetMetadata.to_dict()
DatasetMetadata.year
Feature
FeatureNormalization
Normalization
- merlin.datasets.iris module
- merlin.datasets.mnist_digits module
- merlin.datasets.spiral module
- merlin.datasets.utils module