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unit: def forward()
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id: 644
unit: def batch_range()
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number of parameters: 1

id: 645
unit: def sample_shape()
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number of parameters: 1

id: 646
unit: def _construct_base_samples()
file: botorch/sampling/samplers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 647
unit: def store_iteration()
file: botorch/optim/fit.py
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size: 3 LOC
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unit: def evaluate()
file: botorch/optim/stopping.py
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id: 649
unit: def _filter_kwargs()
file: botorch/optim/utils.py
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id: 650
unit: def _arrayify()
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id: 651
unit: def f_obj_and_grad()
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id: 652
unit: def encode_args()
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id: 653
unit: def _help()
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unit: def help()
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id: 655
unit: def source()
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id: 656
unit: def normalize()
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id: 657
unit: def unnormalize()
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number of parameters: 2

id: 658
unit: def t_batch_mode_transform()
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id: 659
unit: def match_batch_shape()
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number of parameters: 2

id: 660
unit: def convert_to_target_pre_hook()
file: botorch/utils/transforms.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 661
unit: def _objective()
file: botorch/utils/objective.py
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size: 3 LOC
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number of parameters: 2

id: 662
unit: def is_block_design()
file: botorch/utils/containers.py
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size: 3 LOC
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id: 663
unit: def chebyshev_obj()
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size: 3 LOC
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number of parameters: 2

id: 664
unit: def ref_point()
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size: 3 LOC
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id: 665
unit: def Y()
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size: 3 LOC
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id: 666
unit: def _partition_space_2d()
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size: 3 LOC
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id: 667
unit: def _partition_space()
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id: 668
unit: def get_hypercell_bounds()
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size: 3 LOC
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number of parameters: 1

id: 669
unit: def compute_hypervolume()
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size: 3 LOC
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number of parameters: 1

id: 670
unit: def _get_single_cell()
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size: 3 LOC
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number of parameters: 1

id: 671
unit: def _get_partitioning()
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size: 3 LOC
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number of parameters: 1

id: 672
unit: def get_hypercell_bounds()
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size: 3 LOC
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number of parameters: 1

id: 673
unit: def pareto_Y()
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 674
unit: def ref_point()
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size: 3 LOC
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number of parameters: 1

id: 675
unit: def __init__()
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id: 676
unit: def ref_point()
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size: 3 LOC
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id: 677
unit: def ref_point()
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number of parameters: 2

id: 678
unit: def draw()
file: botorch/utils/sampling.py
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number of parameters: 3

id: 679
unit: def sparse_to_dense_constraints()
file: botorch/utils/sampling.py
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number of parameters: 0

id: 680
unit: def __init__()
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id: 681
unit: def num_outputs()
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id: 682
unit: def batch_shape()
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unit: def __init__()
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id: 684
unit: def test_num_constraints()
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id: 685
unit: def keys()
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id: 686
unit: def items()
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id: 687
unit: def values()
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id: 688
unit: def get_deterministic_model_multi_samples()
file: botorch/utils/gp_sampling.py
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size: 3 LOC
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id: 689
unit: def get_feasible_samples()
file: botorch/utils/feasible_volume.py
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id: 690
unit: def _squeeze_to_single_output()
file: botorch/models/higher_order_gp.py
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id: 691
unit: def _return_to_output_shape()
file: botorch/models/higher_order_gp.py
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id: 692
unit: def _eval_context_covar()
file: botorch/models/contextual_multioutput.py
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id: 693
unit: def forward()
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id: 694
unit: def num_outputs()
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unit: def forward()
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id: 697
unit: def batch_shape()
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id: 698
unit: def num_outputs()
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id: 699
unit: def batch_shape()
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id: 700
unit: def sample()
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unit: def forward()
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id: 702
unit: def init_inducing_points()
file: botorch/models/approximate_gp.py
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id: 703
unit: def _prior_mean()
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id: 704
unit: def num_outputs()
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id: 705
unit: def __init__()
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id: 706
unit: def subset_output()
file: botorch/models/model.py
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unit: def num_outputs()
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id: 708
unit: def __init__()
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number of parameters: 2

id: 709
unit: def norm_to_lognorm_variance()
file: botorch/models/transforms/utils.py
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id: 710
unit: def transform()
file: botorch/models/transforms/input.py
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id: 711
unit: def transform()
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id: 712
unit: def untransform()
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id: 714
unit: def _untransform()
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id: 715
unit: def equals()
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id: 716
unit: def bounds()
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unit: def transform()
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id: 718
unit: def __init__()
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id: 719
unit: def subset_output()
file: botorch/models/model_list_gp_regression.py
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id: 720
unit: def __init__()
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id: 721
unit: def suppress_botorch_warnings()
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id: 722
unit: def _set_state()
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id: 723
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unit: def __init__()
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id: 725
unit: def base_sample_shape()
file: botorch/posteriors/deterministic.py
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id: 726
unit: def device()
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id: 727
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id: 728
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id: 729
unit: def mean()
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id: 730
unit: def variance()
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id: 731
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id: 732
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id: 733
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id: 734
unit: def variance()
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id: 735
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id: 739
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id: 740
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id: 741
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id: 742
unit: def device()
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id: 743
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id: 744
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id: 745
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id: 747
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id: 748
unit: def forward()
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id: 749
unit: via conda()
file: website/pages/en/index.js
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id: 750
unit: def patch_config()
file: scripts/patch_site_config.py
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id: 751
unit: def _get_logger()
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id: 752
unit: def fit_gpytorch_model()
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id: 753
unit: def X_pending()
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id: 758
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id: 759
unit: def _construct_sample_weights()
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id: 761
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unit: def _sample_max_values()
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size: 2 LOC
McCabe index: 1
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id: 771
unit: def _sample_max_values()
file: botorch/acquisition/max_value_entropy_search.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 772
unit: def _compute_information_gain()
file: botorch/acquisition/max_value_entropy_search.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 773
unit: def _compute_information_gain()
file: botorch/acquisition/max_value_entropy_search.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 774
unit: def _preprocess_constraint_bounds()
file: botorch/acquisition/analytic.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 775
unit: def _get_noiseless_fantasy_model()
file: botorch/acquisition/analytic.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 776
unit: def __init__()
file: botorch/sampling/qmc.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 777
unit: def draw()
file: botorch/sampling/qmc.py
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size: 2 LOC
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id: 778
unit: def _check_shape_changed()
file: botorch/sampling/samplers.py
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size: 2 LOC
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number of parameters: 0

id: 779
unit: def split_shapes()
file: botorch/sampling/samplers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 780
unit: def _split_batch_eval_acqf()
file: botorch/optim/optimize.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 781
unit: def _filter_infeasible()
file: botorch/optim/optimize.py
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size: 2 LOC
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number of parameters: 0

id: 782
unit: def _filter_invalid()
file: botorch/optim/optimize.py
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number of parameters: 2

id: 783
unit: def set_params_with_array()
file: botorch/optim/numpy_converter.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 784
unit: def initialize_q_batch_nonneg()
file: botorch/optim/initializers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 785
unit: def fix_features()
file: botorch/optim/utils.py
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McCabe index: 1
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id: 786
unit: def _expand_bounds()
file: botorch/optim/utils.py
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size: 2 LOC
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id: 787
unit: def _get_extra_mll_args()
file: botorch/optim/utils.py
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size: 2 LOC
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number of parameters: 0

id: 788
unit: def _scipy_objective_and_grad()
file: botorch/optim/utils.py
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id: 789
unit: def _handle_numerical_errors()
file: botorch/optim/utils.py
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size: 2 LOC
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id: 790
unit: def eval_lin_constraint()
file: botorch/optim/parameter_constraints.py
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size: 2 LOC
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id: 791
unit: def lin_constraint_jac()
file: botorch/optim/parameter_constraints.py
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size: 2 LOC
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number of parameters: 0

id: 792
unit: def _make_f_and_grad_nonlinear_inequality_constraints()
file: botorch/optim/parameter_constraints.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 793
unit: def encoder()
file: botorch/utils/dispatcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 794
unit: def decorator()
file: botorch/utils/transforms.py
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id: 795
unit: def decorated()
file: botorch/utils/transforms.py
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id: 796
unit: def concatenate_pending_points()
file: botorch/utils/transforms.py
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id: 797
unit: def _reshape_base_samples()
file: botorch/utils/low_rank.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 798
unit: def get_objective_weights_transform()
file: botorch/utils/objective.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 799
unit: def __post_init__()
file: botorch/utils/containers.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 800
unit: def get_chebyshev_scalarization()
file: botorch/utils/multi_objective/scalarization.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 801
unit: def __init__()
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 802
unit: def compute_local_upper_bounds()
file: botorch/utils/multi_objective/box_decompositions/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 803
unit: def update_local_upper_bounds_incremental()
file: botorch/utils/multi_objective/box_decompositions/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 804
unit: def compute_non_dominated_hypercell_bounds_2d()
file: botorch/utils/multi_objective/box_decompositions/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 805
unit: def compute_dominated_hypercell_bounds_2d()
file: botorch/utils/multi_objective/box_decompositions/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 806
unit: def get_outcome_constraint_transforms()
file: botorch/utils/constraints.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 807
unit: def mean()
file: botorch/utils/testing.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 808
unit: def variance()
file: botorch/utils/testing.py
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McCabe index: 1
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id: 809
unit: def state_dict()
file: botorch/utils/testing.py
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id: 810
unit: def load_state_dict()
file: botorch/utils/testing.py
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id: 811
unit: def __call__()
file: botorch/utils/testing.py
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id: 812
unit: def set_X_pending()
file: botorch/utils/testing.py
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McCabe index: 1
number of parameters: 2

id: 813
unit: def _get_random_data()
file: botorch/utils/testing.py
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McCabe index: 1
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id: 814
unit: def __getitem__()
file: botorch/utils/torch.py
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id: 815
unit: def __setitem__()
file: botorch/utils/torch.py
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id: 816
unit: def __delitem__()
file: botorch/utils/torch.py
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number of parameters: 2

id: 817
unit: def __len__()
file: botorch/utils/torch.py
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id: 818
unit: def __iter__()
file: botorch/utils/torch.py
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id: 819
unit: def __contains__()
file: botorch/utils/torch.py
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id: 820
unit: def clear()
file: botorch/utils/torch.py
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id: 821
unit: def __call__()
file: botorch/utils/torch.py
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number of parameters: 2

id: 822
unit: def get_deterministic_model()
file: botorch/utils/gp_sampling.py
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size: 2 LOC
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number of parameters: 0

id: 823
unit: def evaluate_gp_sample()
file: botorch/utils/gp_sampling.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 824
unit: def get_gp_samples()
file: botorch/utils/gp_sampling.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 825
unit: def forward()
file: botorch/models/higher_order_gp.py
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id: 826
unit: def untransform()
file: botorch/models/higher_order_gp.py
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id: 827
unit: def untransform_posterior()
file: botorch/models/higher_order_gp.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 828
unit: def condition_on_observations()
file: botorch/models/higher_order_gp.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 829
unit: def power()
file: botorch/models/kernels/downsampling.py
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McCabe index: 1
number of parameters: 1

id: 830
unit: def power()
file: botorch/models/kernels/downsampling.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 831
unit: def offset()
file: botorch/models/kernels/downsampling.py
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McCabe index: 1
number of parameters: 1

id: 832
unit: def offset()
file: botorch/models/kernels/downsampling.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 833
unit: def power()
file: botorch/models/kernels/linear_truncated_fidelity.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 834
unit: def power()
file: botorch/models/kernels/linear_truncated_fidelity.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 835
unit: def outputscale_list()
file: botorch/models/kernels/contextual_lcea.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 836
unit: def outputscale_list()
file: botorch/models/kernels/contextual_lcea.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 837
unit: def power()
file: botorch/models/kernels/exponential_decay.py
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size: 2 LOC
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number of parameters: 1

id: 838
unit: def power()
file: botorch/models/kernels/exponential_decay.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 839
unit: def offset()
file: botorch/models/kernels/exponential_decay.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 840
unit: def offset()
file: botorch/models/kernels/exponential_decay.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 841
unit: def forward()
file: botorch/models/deterministic.py
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McCabe index: 1
number of parameters: 2

id: 842
unit: def forward()
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McCabe index: 1
number of parameters: 2

id: 843
unit: def _validate_tensor_args()
file: botorch/models/gpytorch.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 844
unit: def get_batch_dimensions()
file: botorch/models/gpytorch.py
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McCabe index: 1
number of parameters: 0

id: 845
unit: def _transform_tensor_args()
file: botorch/models/gpytorch.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 846
unit: def condition_on_observations()
file: botorch/models/gpytorch.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 847
unit: def condition_on_observations()
file: botorch/models/gpytorch.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 848
unit: def postprocess_mcmc_samples()
file: botorch/models/fully_bayesian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 849
unit: def __init__()
file: botorch/models/fully_bayesian.py
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McCabe index: 1
number of parameters: 0

id: 850
unit: def sample_outputscale()
file: botorch/models/fully_bayesian.py
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McCabe index: 1
number of parameters: 0

id: 851
unit: def sample_lengthscale()
file: botorch/models/fully_bayesian.py
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McCabe index: 1
number of parameters: 0

id: 852
unit: def postprocess_mcmc_samples()
file: botorch/models/fully_bayesian.py
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McCabe index: 1
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id: 853
unit: def construct_inputs()
file: botorch/models/fully_bayesian.py
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McCabe index: 1
number of parameters: 0

id: 854
unit: def num_outputs()
file: botorch/models/approximate_gp.py
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McCabe index: 1
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id: 855
unit: def posterior()
file: botorch/models/approximate_gp.py
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McCabe index: 1
number of parameters: 0

id: 856
unit: def batched_multi_output_to_single_output()
file: botorch/models/converter.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 857
unit: def _calc_z()
file: botorch/models/pairwise_gp.py
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McCabe index: 1
number of parameters: 0

id: 858
unit: def construct_inputs()
file: botorch/models/gp_regression.py
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McCabe index: 1
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id: 859
unit: def construct_inputs()
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McCabe index: 1
number of parameters: 0

id: 860
unit: def condition_on_observations()
file: botorch/models/gp_regression.py
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McCabe index: 1
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id: 861
unit: def subset_output()
file: botorch/models/gp_regression.py
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McCabe index: 1
number of parameters: 2

id: 862
unit: def construct_inputs()
file: botorch/models/model.py
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McCabe index: 1
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id: 863
unit: def _get_group_subset_indices()
file: botorch/models/model.py
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McCabe index: 1
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id: 864
unit: def forward()
file: botorch/models/transforms/outcome.py
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McCabe index: 1
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id: 865
unit: def untransform()
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McCabe index: 1
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id: 866
unit: def forward()
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id: 867
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id: 868
unit: def forward()
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id: 869
unit: def untransform()
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id: 870
unit: def forward()
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id: 871
unit: def untransform()
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id: 872
unit: def forward()
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id: 873
unit: def untransform()
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number of parameters: 0

id: 874
unit: def norm_to_lognorm_mean()
file: botorch/models/transforms/utils.py
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McCabe index: 1
number of parameters: 2

id: 875
unit: def condition_on_observations()
file: botorch/models/model_list_gp_regression.py
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McCabe index: 1
number of parameters: 0

id: 876
unit: def construct_inputs()
file: botorch/models/gp_regression_mixed.py
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McCabe index: 1
number of parameters: 0

id: 877
unit: def on()
file: botorch/settings.py
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McCabe index: 1
number of parameters: 1

id: 878
unit: def off()
file: botorch/settings.py
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id: 879
unit: def _set_state()
file: botorch/settings.py
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id: 880
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id: 881
unit: def __exit__()
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unit: def __exit__()
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McCabe index: 1
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id: 884
unit: def event_shape()
file: botorch/posteriors/higher_order.py
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McCabe index: 1
number of parameters: 1

id: 885
unit: def _prepare_base_samples()
file: botorch/posteriors/higher_order.py
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McCabe index: 1
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id: 886
unit: def __init__()
file: botorch/posteriors/deterministic.py
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McCabe index: 1
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id: 887
unit: def scalarize_posterior()
file: botorch/posteriors/gpytorch.py
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McCabe index: 1
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id: 888
unit: def __init__()
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McCabe index: 1
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id: 889
unit: def _reshape_base_samples_non_interleaved()
file: botorch/posteriors/base_samples.py
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McCabe index: 1
number of parameters: 0

id: 890
unit: def _prepare_base_samples()
file: botorch/posteriors/multitask.py
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McCabe index: 1
number of parameters: 0

id: 891
unit: def _draw_from_base_covar()
file: botorch/posteriors/multitask.py
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McCabe index: 1
number of parameters: 0

id: 892
unit: def f()
file: botorch/generation/gen.py
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McCabe index: 1
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id: 893
unit: def forward()
file: botorch/generation/sampling.py
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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id: 895
unit: def gen_loo_cv_folds()
file: botorch/cross_validation.py
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