secretflow.ml.boost.sgb_v.factory.components.loss_computer#

Classes:

LossComputer()

Compute loss, gradients and hessians

class secretflow.ml.boost.sgb_v.factory.components.loss_computer.LossComputer[源代码]#

基类：Component

Compute loss, gradients and hessians

Methods:

`__init__`()
`show_params`()
`set_params`(params)
`get_params`(params)
`set_devices`(devices)
`compute_gh`(y, pred)

__init__() → None[源代码]#

show_params()[源代码]#

set_params(params: dict)[源代码]#

get_params(params: dict)[源代码]#

set_devices(devices: Devices)[源代码]#

compute_gh(y: Union[PYUObject, ndarray], pred: Union[PYUObject, ndarray]) → Tuple[PYUObject, PYUObject][源代码]#

secretflow.ml.boost.sgb_v.factory.components.loss_computer.loss_computer#

Classes:

`LossComputerParams`([objective])	'objective': Specify the learning objective.
`LossComputer`()	Compute loss, gradients and hessians

class secretflow.ml.boost.sgb_v.factory.components.loss_computer.loss_computer.LossComputerParams(objective: RegType = RegType.Logistic)[源代码]#

基类：object

‘objective’: Specify the learning objective.: default: ‘logistic’ range: [‘linear’, ‘logistic’]

Attributes:

objective

Methods:

__init__([objective])

objective: RegType = 'logistic'#

__init__(objective: RegType = RegType.Logistic) → None#

class secretflow.ml.boost.sgb_v.factory.components.loss_computer.loss_computer.LossComputer[源代码]#

基类：Component

Compute loss, gradients and hessians

Methods:

`__init__`()
`show_params`()
`set_params`(params)
`get_params`(params)
`set_devices`(devices)
`compute_gh`(y, pred)

__init__() → None[源代码]#

show_params()[源代码]#

set_params(params: dict)[源代码]#

get_params(params: dict)[源代码]#

set_devices(devices: Devices)[源代码]#

compute_gh(y: Union[PYUObject, ndarray], pred: Union[PYUObject, ndarray]) → Tuple[PYUObject, PYUObject][源代码]#