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

Classes:

GradientEncryptor()

Manage all encryptions related to y, gradients, hessians

class secretflow.ml.boost.sgb_v.factory.components.gradient_encryptor.GradientEncryptor[source]#

Bases: Component

Manage all encryptions related to y, gradients, hessians

Methods:

`__init__`()
`show_params`()
`set_devices`(devices)
`get_params`(params)
`set_params`(params)
`pack`(g, h)
`encrypt`(gh, tree_index)
`cache_to_workers`(encrypted_gh, gh)
`get_move_config`(pyu)

__init__()[source]#

show_params()[source]#

set_devices(devices: Devices)[source]#

get_params(params: dict)[source]#

set_params(params: dict)[source]#

pack(g: PYUObject, h: PYUObject) → PYUObject[source]#

encrypt(gh: PYUObject, tree_index: int) → HEUObject[source]#

cache_to_workers(encrypted_gh: HEUObject, gh: PYUObject) → Dict[PYU, Union[HEUObject, PYUObject]][source]#

get_move_config(pyu)[source]#

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

Classes:

`GradientEncryptorParams`(...)	'fixed_point_parameter': int. Any floating point number encoded by heu,
`GradientEncryptor`()	Manage all encryptions related to y, gradients, hessians

Functions:

`define_encoder`(params)
`move_config`(pyu, params)

class secretflow.ml.boost.sgb_v.factory.components.gradient_encryptor.gradient_encryptor.GradientEncryptorParams(fixed_point_parameter: int = 20, batch_encoding_enabled: bool = True, audit_paths: dict = <factory>)[source]#

Bases: object

‘fixed_point_parameter’: int. Any floating point number encoded by heu,: will multiply a scale and take the round, scale = 2 ** fixed_point_parameter. larger value may mean more numerical accurate, but too large will lead to overflow problem. See HEU’s document for more details.

default: 20
‘batch_encoding_enabled’: bool. if use batch encoding optimization.: default: True.

‘audit_paths’: dict. {device : path to save log for audit}

Attributes:

`fixed_point_parameter`
`batch_encoding_enabled`
`audit_paths`

Methods:

__init__([fixed_point_parameter, ...])

fixed_point_parameter: int = 20#

batch_encoding_enabled: bool = True#

audit_paths: dict#

__init__(fixed_point_parameter: int = 20, batch_encoding_enabled: bool = True, audit_paths: dict = <factory>) → None#

secretflow.ml.boost.sgb_v.factory.components.gradient_encryptor.gradient_encryptor.define_encoder(params: GradientEncryptorParams)[source]#

class secretflow.ml.boost.sgb_v.factory.components.gradient_encryptor.gradient_encryptor.GradientEncryptor[source]#

Bases: Component

Manage all encryptions related to y, gradients, hessians

Methods:

`__init__`()
`show_params`()
`set_devices`(devices)
`get_params`(params)
`set_params`(params)
`pack`(g, h)
`encrypt`(gh, tree_index)
`cache_to_workers`(encrypted_gh, gh)
`get_move_config`(pyu)

__init__()[source]#

show_params()[source]#

set_devices(devices: Devices)[source]#

get_params(params: dict)[source]#

set_params(params: dict)[source]#

pack(g: PYUObject, h: PYUObject) → PYUObject[source]#

encrypt(gh: PYUObject, tree_index: int) → HEUObject[source]#

cache_to_workers(encrypted_gh: HEUObject, gh: PYUObject) → Dict[PYU, Union[HEUObject, PYUObject]][source]#

get_move_config(pyu)[source]#

secretflow.ml.boost.sgb_v.factory.components.gradient_encryptor.gradient_encryptor.move_config(pyu, params)[source]#