mentat-lss
Contents:
Installation Instructions
Workflow Example
API Reference
Tutorials
mentat-lss
Index
Index
A
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B
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C
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D
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F
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G
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H
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I
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L
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M
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N
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O
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P
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S
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T
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U
A
activation_function (class in mentat_lss.models.blocks)
analytic_eft_model (class in mentat_lss.models.analytic_terms)
B
block_addnorm (class in mentat_lss.models.blocks)
block_resnet (class in mentat_lss.models.blocks)
block_transformer_encoder (class in mentat_lss.models.blocks)
C
calc_avg_loss() (in module mentat_lss.utils)
calculate_pk_lin() (mentat_lss.models.analytic_terms.analytic_eft_model method)
check_kbins_are_compatible() (mentat_lss.emulator.ps_emulator method)
compile_multiple_device_training_results() (in module mentat_lss.emulator)
D
delta_chi_squared() (in module mentat_lss.utils)
F
forward() (mentat_lss.models.blocks.activation_function method)
(mentat_lss.models.blocks.block_addnorm method)
(mentat_lss.models.blocks.block_resnet method)
(mentat_lss.models.blocks.block_transformer_encoder method)
(mentat_lss.models.blocks.linear_with_channels method)
(mentat_lss.models.blocks.multi_headed_attention method)
(mentat_lss.models.stacked_mlp.single_mlp method)
(mentat_lss.models.stacked_mlp.stacked_mlp method)
(mentat_lss.models.stacked_transformer.single_transformer method)
(mentat_lss.models.stacked_transformer.stacked_transformer method)
G
get_analytic_terms() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_ctr_terms() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_damping_factor() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_emulated_power_spectrum() (mentat_lss.emulator.ps_emulator method)
get_full_invcov() (in module mentat_lss.utils)
get_gaussan_priors() (in module mentat_lss.utils)
get_invcov_blocks() (in module mentat_lss.utils)
get_k_nl() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_normalized_galaxy_power_spectra() (mentat_lss.dataset.pk_galaxy_dataset method)
get_parameter_ranges() (in module mentat_lss.utils)
get_pk_lin() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_pk_lin_irres_rsd() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_power_spectra() (mentat_lss.emulator.ps_emulator method)
get_required_analytic_parameters() (mentat_lss.emulator.ps_emulator method)
get_required_emu_parameters() (mentat_lss.emulator.ps_emulator method)
get_stochastic_terms() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_tree_term() (mentat_lss.models.analytic_terms.analytic_eft_model method)
get_true_galaxy_power_spectra() (mentat_lss.dataset.pk_galaxy_dataset method)
H
hyperbolic_chi2_loss() (in module mentat_lss.utils)
hyperbolic_loss() (in module mentat_lss.utils)
I
initialize_params() (mentat_lss.models.blocks.linear_with_channels method)
is_in_hypersphere() (in module mentat_lss.utils)
L
linear_with_channels (class in mentat_lss.models.blocks)
load_config_file() (in module mentat_lss.utils)
load_data() (mentat_lss.emulator.ps_emulator method)
load_trained_model() (mentat_lss.emulator.ps_emulator method)
M
make_hypersphere() (in module mentat_lss.utils)
make_latin_hypercube() (in module mentat_lss.utils)
mentat_lss.cosmo_utils
module
mentat_lss.dataset
module
mentat_lss.emulator
module
mentat_lss.models.analytic_terms
module
mentat_lss.models.blocks
module
mentat_lss.models.stacked_mlp
module
mentat_lss.models.stacked_transformer
module
mentat_lss.training_loops
module
mentat_lss.utils
module
module
mentat_lss.cosmo_utils
mentat_lss.dataset
mentat_lss.emulator
mentat_lss.models.analytic_terms
mentat_lss.models.blocks
mentat_lss.models.stacked_mlp
mentat_lss.models.stacked_transformer
mentat_lss.training_loops
mentat_lss.utils
mse_loss() (in module mentat_lss.utils)
multi_headed_attention (class in mentat_lss.models.blocks)
N
normalize_cosmo_params() (in module mentat_lss.utils)
normalize_data() (mentat_lss.dataset.pk_galaxy_dataset method)
normalize_power_spectrum() (in module mentat_lss.utils)
O
organize_parameters() (mentat_lss.models.stacked_mlp.stacked_mlp method)
(mentat_lss.models.stacked_transformer.stacked_transformer method)
organize_training_set() (in module mentat_lss.utils)
P
pk_galaxy_dataset (class in mentat_lss.dataset)
prepare_emu_inputs() (in module mentat_lss.utils)
prepare_ps_inputs() (in module mentat_lss.utils)
ps_emulator (class in mentat_lss.emulator)
S
set_ir_resum_params() (mentat_lss.models.analytic_terms.analytic_eft_model method)
set_params() (mentat_lss.models.analytic_terms.analytic_eft_model method)
single_mlp (class in mentat_lss.models.stacked_mlp)
single_transformer (class in mentat_lss.models.stacked_transformer)
stacked_mlp (class in mentat_lss.models.stacked_mlp)
stacked_transformer (class in mentat_lss.models.stacked_transformer)
T
to() (mentat_lss.dataset.pk_galaxy_dataset method)
train_galaxy_ps_one_epoch() (in module mentat_lss.training_loops)
train_on_multiple_devices() (in module mentat_lss.training_loops)
train_on_single_device() (in module mentat_lss.training_loops)
transpose_output() (mentat_lss.models.blocks.multi_headed_attention method)
transpose_qkv() (mentat_lss.models.blocks.multi_headed_attention method)
U
un_normalize_power_spectrum() (in module mentat_lss.utils)