PineForge HPO 1.11.0
Native hyperparameter optimization for PineForge strategies
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pineforge_hpo.study_spec.TpeSamplerConfig Class Reference

Static Public Attributes

int startup_trials = 10
 
int ei_candidates = 24
 
float gamma_fraction = 0.10
 
int gamma_cap = 25
 
float prior_weight = 1.0
 
bool constant_liar = True
 
int history_switch = None
 
int max_threads = 0
 

Detailed Description

Validated native TPE model and batching controls.

Definition at line 91 of file study_spec.py.

Member Data Documentation

◆ constant_liar

bool pineforge_hpo.study_spec.TpeSamplerConfig.constant_liar = True
static

Definition at line 99 of file study_spec.py.

◆ ei_candidates

int pineforge_hpo.study_spec.TpeSamplerConfig.ei_candidates = 24
static

Definition at line 95 of file study_spec.py.

◆ gamma_cap

int pineforge_hpo.study_spec.TpeSamplerConfig.gamma_cap = 25
static

Definition at line 97 of file study_spec.py.

◆ gamma_fraction

float pineforge_hpo.study_spec.TpeSamplerConfig.gamma_fraction = 0.10
static

Definition at line 96 of file study_spec.py.

◆ history_switch

int pineforge_hpo.study_spec.TpeSamplerConfig.history_switch = None
static

Definition at line 100 of file study_spec.py.

◆ max_threads

int pineforge_hpo.study_spec.TpeSamplerConfig.max_threads = 0
static

Definition at line 101 of file study_spec.py.

◆ prior_weight

float pineforge_hpo.study_spec.TpeSamplerConfig.prior_weight = 1.0
static

Definition at line 98 of file study_spec.py.

◆ startup_trials

int pineforge_hpo.study_spec.TpeSamplerConfig.startup_trials = 10
static

Definition at line 94 of file study_spec.py.


The documentation for this class was generated from the following file: