pjautoml.cs.operator.datadriven.optimization.modelfree.best.Best¶

class pjautoml.cs.operator.datadriven.optimization.modelfree.best.Best(listcs, n=1, train=<class 'pjdata.content.specialdata.NoData'>, test=<class 'pjdata.content.specialdata.NoData'>, better='higher')[source]¶

__init__(listcs, n=1, train=<class 'pjdata.content.specialdata.NoData'>, test=<class 'pjdata.content.specialdata.NoData'>, better='higher')[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(listcs[, n, train, test, better])	Initialize self.
`disable_pretty_printing`()	Disable the pretty-printing.
`enable_pretty_printing`()	Enable the pretty-printing.
`sample`()	The sample method will behave like a circular list.

Attributes

`cs`	TODO.
`jsonable`
`name`	Return the name of the CS.
`path`	Return the name of the CS.
`pretty_printing`

cs[source]¶: TODO.

disable_pretty_printing()[source]¶: Disable the pretty-printing.

enable_pretty_printing()[source]¶: Enable the pretty-printing.

name[source]¶: Return the name of the CS.

path[source]¶: Return the name of the CS.

sample()[source]¶: The sample method will behave like a circular list. Therefore, it returns the first example to the last and the first again.