fair_seldonian package

Subpackages

• fair_seldonian.algorithms package
  • Submodules
  • fair_seldonian.algorithms.qsa module
    • QSA()
    • safety_test()
    • get_cand_solution()
    • cand_obj()
  • Module contents
• fair_seldonian.constraints package
  • Submodules
  • fair_seldonian.constraints.bounds module
    • eval_math_bound()
    • eval_abs_bound()
    • eval_div_bound()
    • eval_multiply_bound()
    • eval_subtract_bound()
    • eval_add_bound()
  • fair_seldonian.constraints.expression_tree module
    • ExprTree
    • is_operator()
    • is_mod()
    • is_func()
    • construct_expr_tree_base()
    • eval_expr_tree_base()
    • eval_expr_tree_conf_interval_base()
    • inorder()
  • fair_seldonian.constraints.expression_tree_ext module
    • ExprTree
      • ExprTree.left
      • ExprTree.right
      • ExprTree.delta
      • ExprTree.add_delta()
    • construct_expr_tree()
    • configure_delta()
    • add_deltas_constant()
    • add_deltas()
    • check_node_dup()
    • is_constant()
    • change_deltas()
    • change_delta_value()
    • eval_expr_tree()
    • eval_expr_tree_conf_interval()
    • inorder_ext()
  • fair_seldonian.constraints.inequalities module
    • group_mask()
    • eval_estimate()
    • eval_func_bound()
    • Inequality
      • Inequality.T_TEST
      • Inequality.HOEFFDING_INEQUALITY
    • get_num_of_elements()
    • eval_hoeffding()
    • predict_hoeffding()
    • predict_hoeffding_modified()
    • get_variance()
    • eval_t_test()
    • predict_t_test()
  • Module contents
• fair_seldonian.data package
  • Submodules
  • fair_seldonian.data.synthetic module
    • random()
    • get_data()
    • data_split()
  • Module contents
• fair_seldonian.experiments package
  • Submodules
  • fair_seldonian.experiments.plots module
    • load_and_plot_results()
  • fair_seldonian.experiments.results module
    • get_existing_experiment_numbers()
    • gen_filename()
    • add_more_results()
    • stderror()
    • save_to_csv()
    • gather_results()
  • fair_seldonian.experiments.runner module
    • store_result()
    • run_experiments()
  • Module contents
• fair_seldonian.models package
  • Submodules
  • fair_seldonian.models.logistic_regression module
    • predict()
    • f_hat()
    • simple_logistic()
    • eval_ghat()
    • ghat()
    • ghat_base()
    • eval_ghat_base()
    • ghat_extend()
    • eval_ghat_extend()
  • Module contents

Submodules

fair_seldonian.config module

class fair_seldonian.config.SeldonianConfig(delta=0.05, inequality=Inequality.HOEFFDING_INEQUALITY, constraint='TP(1) TP(0) - abs 0.25 TP(1) * -', candidate_ratio=0.4)

Bases: object

Configuration for the Seldonian algorithm.

Parameters:

• delta (float)

• inequality (Inequality)

• constraint (str)

• candidate_ratio (float)

delta: float = 0.05

inequality: Inequality = 2

constraint: str = 'TP(1) TP(0) - abs 0.25 TP(1) * -'

candidate_ratio: float = 0.4

Module contents