pjml.data.flow.file.File¶
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class
pjml.data.flow.file.File(name: str, path: str = './', description: str = 'No description.', hashes: str = None, **kwargs)[source]¶ Source of Data object from CSV, ARFF, file.
TODO: always classification task? There will be a single transformation (history) on the generated Data.
A short hash will be added to the name, to ensure unique names. Actually, the first collision is expected after 12M different datasets with the same name ( 2**(log(107**7, 2)/2) ). Since we already expect unique names like ‘iris’, and any transformed dataset is expected to enter the system through a component, 12M should be safe enough. Ideally, a single ‘iris’ be will stored. In practice, no more than a dozen are expected.
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__init__(name: str, path: str = './', description: str = 'No description.', hashes: str = None, **kwargs)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(name, path, description, hashes, …)Initialize self. default_config()Create a copy of the component default configuration. disable_pretty_printing()Disable the pretty-printing. dual_transform(train, …)enable_pretty_printing()Enable the pretty-printing. updated(**kwargs)Clone this component, optionally replacing given params. Attributes
cfserializedcfuuidUUID excluding ‘model’ and ‘enhance’ flags. cs1Convert component into a config space with a single component inside it. enhanceridShort uuID First 8 chars of uuid, usually for printing purposes. jsonablelongnamemodelnamepathpretty_printingserializedsidShort uuID First 6 chars of uuid, usually for printing purposes. transformationsunwrapSubpipeline inside the first Wrap(). uuidLazily calculated unique identifier for this dataset. wrappedSame as unwrap(), but with the external container Wrap. -
classmethod
default_config() → Dict[str, Any][source]¶ Create a copy of the component default configuration.
Returns: - dict
Copy of the component default configuration.
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id[source]¶ Short uuID First 8 chars of uuid, usually for printing purposes. First collision expect after 12671943 combinations. :return:
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unwrap[source]¶ Subpipeline inside the first Wrap().
Hopefully there is only one Wrap in the pipeline. This method performs a depth-first search.
Examples
>>> pipe = Pipeline( >>> File(name='iris.arff'), >>> Wrap(Std(), SVMC()), >>> Metric(function='accuracy') >>> ) >>> pipe.unwrap # -> Chain(Std(), SVMC())
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updated(**kwargs)[source]¶ Clone this component, optionally replacing given params.
Returns: - A ready to use component.
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uuid¶ Lazily calculated unique identifier for this dataset.
Should be accessed direct as a class member: ‘uuid’.
Returns: - A unique identifier UUID object.
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