Index

Symbols

--batch-size <batch_size> tdms-train command line option --beta-l1-coefficients <beta_l1_coefficients> tdms-create command line option --beta-rank <beta_rank> tdms-train command line option --config <config> tdms-beta command line option tdms-create command line option tdms-error command line option tdms-evaluate command line option tdms-geplot command line option tdms-go command line option tdms-heatmap command line option tdms-prep command line option tdms-profiles command line option tdms-scatter command line option tdms-summarize command line option tdms-svd command line option tdms-train command line option --device <device> tdms-error command line option tdms-evaluate command line option tdms-geplot command line option tdms-scatter command line option tdms-train command line option --drop-nans tdms-prep command line option --dry-run tdms-prep command line option tdms-train command line option --epochs <epochs> tdms-train command line option --exp-target <exp_target> tdms-train command line option --export-dataframe <export_dataframe> tdms-prep command line option --include-details tdms-error command line option --independent-start-epochs <independent_start_epochs> tdms-train command line option --independent-starts <independent_starts> tdms-train command line option --interaction-l1-coefficients <interaction_l1_coefficients> tdms-create command line option --learning-rate <learning_rate> tdms-train command line option --loss-fn <loss_fn> tdms-train command line option --loss-weight-span <loss_weight_span> tdms-train command line option

--min-lr <min_lr> tdms-train command line option --monotonic <monotonic> tdms-create command line option --no-non-lin-bias tdms-create command line option --no-output-bias tdms-create command line option --non-lin-bias tdms-create command line option --out <out> tdms-beta command line option tdms-error command line option tdms-evaluate command line option tdms-geplot command line option tdms-heatmap command line option tdms-profiles command line option tdms-scatter command line option tdms-svd command line option --out-prefix <out_prefix> tdms-summarize command line option --output-bias tdms-create command line option --partition-by <partition_by> tdms-prep command line option --patience <patience> tdms-train command line option --per-stratum-variants-for-test <per_stratum_variants_for_test> tdms-prep command line option --seed <seed> tdms-create command line option tdms-prep command line option tdms-train command line option --show-points tdms-error command line option --simple-training tdms-train command line option --site-path <site_path> tdms-train command line option --skip-stratum-if-count-is-smaller-than <skip_stratum_if_count_is_smaller_than> tdms-prep command line option --steps <steps> tdms-geplot command line option --train-on-all-single-mutants tdms-prep command line option --version tdms command line option -v tdms command line option

_

__call__() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) __init__() (torchdms.analysis.Analysis method) (torchdms.data.BinaryMapDataset method) (torchdms.data.SplitDataframe method) (torchdms.data.SplitDataset method) (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

A

activation_of_string() (in module torchdms.utils) add_module() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

Analysis (class in torchdms.analysis), [1] apply() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

B

beta_coefficients() (in module torchdms.plot), [1] (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method), [1] (torchdms.model.FullyConnected method), [1] (torchdms.model.Independent method), [1] (torchdms.model.Linear method), [1] (torchdms.model.TorchdmsModel method), [1] bfloat16() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

BinaryMapDataset (class in torchdms.data), [1] buffers() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) build_2d_nonlinearity_df() (in module torchdms.plot), [1] build_beta_map() (in module torchdms.utils), [1] build_evaluation_dict() (in module torchdms.evaluation), [1] build_geplot_df() (in module torchdms.plot), [1]

C

cartesian_product() (in module torchdms.utils), [1] cat_list_values() (in module torchdms.utils), [1] characteristics (torchdms.model.Conditional property) (torchdms.model.ConditionalSequential property) (torchdms.model.Escape property), [1] (torchdms.model.FullyConnected property), [1] (torchdms.model.Independent property), [1] (torchdms.model.Linear property), [1] (torchdms.model.TorchdmsModel property), [1] check_onehot_encoding() (in module torchdms.data), [1] children() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) CHOICE_JSON_PATH tdms-cartesian command line option

complete_error_summary() (in module torchdms.evaluation) complete_loss() (torchdms.analysis.Analysis method), [1] Conditional (class in torchdms.model), [1] ConditionalSequential (class in torchdms.model), [1] count_variants_with_a_mutation_towards_an_aa() (in module torchdms.utils), [1] cpu() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) cuda() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

D

DATA_PATH tdms-beta command line option tdms-create command line option tdms-error command line option tdms-evaluate command line option tdms-geplot command line option tdms-profiles command line option tdms-scatter command line option tdms-summarize command line option tdms-svd command line option tdms-train command line option tdms-validate command line option default_map_of_ctx_or_parent() (in module torchdms.cli), [1]

defunkified_str() (in module torchdms.utils), [1] DEST_PATH tdms-transfer command line option df_with_named_columns_of_np_array() (in module torchdms.plot) diff_penalty() (in module torchdms.loss), [1] double() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) dry_run_option() (in module torchdms.cli)

E

error_df_of_evaluation_dict() (in module torchdms.evaluation), [1] error_summary_of_data() (in module torchdms.evaluation) error_summary_of_error_df() (in module torchdms.evaluation), [1] Escape (class in torchdms.model), [1] eval() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

expand_substitutions_into_df() (in module torchdms.data), [1] explode_binarymap_dataframe() (in module torchdms.data), [1] extra_repr() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

F

fix_gauge() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method), [1] (torchdms.model.FullyConnected method), [1] (torchdms.model.Independent method), [1] (torchdms.model.Linear method), [1] (torchdms.model.TorchdmsModel method), [1] float() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) float_list_of_comma_separated_string() (in module torchdms.utils), [1] forward() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method), [1]

from_json_file() (in module torchdms.utils), [1] from_latent_to_output() (torchdms.model.Conditional method), [1] (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method), [1] (torchdms.model.FullyConnected method), [1] (torchdms.model.Independent method), [1] (torchdms.model.Linear method), [1] (torchdms.model.TorchdmsModel method), [1] from_pickle_file() (in module torchdms.utils), [1] FullyConnected (class in torchdms.model), [1]

G

get_buffer() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) get_extra_state() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) get_first_key_with_an_option() (in module torchdms.utils), [1] get_mutation_indicies() (in module torchdms.utils), [1]

get_observed_training_mutations() (in module torchdms.utils), [1] get_only_entry_from_constant_list() (in module torchdms.utils), [1] get_parameter() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) get_submodule() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

H

half() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

I

IN_PATH tdms-prep command line option

Independent (class in torchdms.model), [1] internal_layer_dimensions (torchdms.model.FullyConnected property), [1]

J

json_provider() (in module torchdms.cli), [1]

L

l1() (in module torchdms.loss), [1] labeled_splits (torchdms.data.SplitDataset property), [1] latent_dim (torchdms.model.Conditional property) (torchdms.model.ConditionalSequential property) (torchdms.model.Escape property), [1] (torchdms.model.FullyConnected property), [1] (torchdms.model.Independent property), [1] (torchdms.model.Linear property), [1] (torchdms.model.TorchdmsModel property), [1]

layers (torchdms.model.TorchdmsModel attribute), [1] Linear (class in torchdms.model), [1] load_state_dict() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) loss_of_targets_and_prediction() (torchdms.analysis.Analysis method), [1]

M

make_all_possible_mutations() (in module torchdms.utils), [1] make_cartesian_product_hierarchy() (in module torchdms.utils), [1] make_legal_filename() (in module torchdms.utils), [1] MODEL_PATH tdms-beta command line option tdms-error command line option tdms-evaluate command line option tdms-geplot command line option tdms-heatmap command line option tdms-profiles command line option tdms-scatter command line option tdms-svd command line option tdms-train command line option MODEL_STRING tdms-create command line option module torchdms torchdms.analysis torchdms.cli torchdms.data torchdms.evaluation torchdms.loss torchdms.model torchdms.plot torchdms.utils

modules() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) monotonic_params_from_latent_space() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method), [1] mse() (in module torchdms.loss), [1] multi_train() (torchdms.analysis.Analysis method), [1]

N

named_buffers() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) named_children() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) named_modules() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

named_parameters() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) numpy_single_mutant_predictions() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method), [1]

O

OUT_PATH tdms-create command line option

OUT_PREFIX tdms-prep command line option output_size (torchdms.model.TorchdmsModel attribute), [1]

P

parameters() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) parse_sites() (in module torchdms.utils), [1] partition() (in module torchdms.data), [1] plot_2d_geplot() (in module torchdms.plot) plot_error() (in module torchdms.plot)

plot_exploded_binarymap_dataframe_summary() (in module torchdms.plot) plot_geplot() (in module torchdms.plot) plot_heatmap() (in module torchdms.plot), [1] plot_observed_2d_scores() (in module torchdms.plot), [1] plot_svd() (in module torchdms.plot), [1] plot_svd_profiles() (in module torchdms.plot), [1] plot_test_correlation() (in module torchdms.plot), [1] positions_in_list() (in module torchdms.utils), [1] prep_by_stratum_and_export() (in module torchdms.data), [1] pretty_breaks() (in module torchdms.plot) print_method_name_and_locals() (in module torchdms.cli), [1] product_penalty() (in module torchdms.loss), [1]

R

randomize_parameters() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method), [1] register_backward_hook() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) register_buffer() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) register_forward_hook() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) register_forward_pre_hook() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

register_full_backward_hook() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) register_parameter() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) regularization_loss() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method), [1] (torchdms.model.FullyConnected method), [1] (torchdms.model.Independent method), [1] (torchdms.model.Linear method), [1] (torchdms.model.TorchdmsModel method), [1] requires_grad_() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) restrict_dict_to_params() (in module torchdms.cli), [1] rmse() (in module torchdms.loss), [1]

S

seed_option() (in module torchdms.cli) seq_to_binary() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method), [1] sequence_length (torchdms.model.Conditional property) (torchdms.model.ConditionalSequential property) (torchdms.model.Escape property) (torchdms.model.FullyConnected property) (torchdms.model.Independent property) (torchdms.model.Linear property) (torchdms.model.TorchdmsModel property), [1] series_min_max() (in module torchdms.plot) set_extra_state() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) set_random_seed() (in module torchdms.cli) set_require_grad_for_all_parameters() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method), [1] share_memory() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

simple_train() (torchdms.analysis.Analysis method), [1] single_mutant_predictions() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method), [1] sitewise_group_lasso() (in module torchdms.loss), [1] SOURCE_PATH tdms-transfer command line option SplitDataframe (class in torchdms.data), [1] SplitDataset (class in torchdms.data), [1] state_dict() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) str_summary() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method), [1] (torchdms.model.FullyConnected method), [1] (torchdms.model.Independent method), [1] (torchdms.model.Linear method), [1] (torchdms.model.TorchdmsModel method), [1] sum_diff_penalty() (in module torchdms.loss), [1] summarize_binarymap_dataframe() (in module torchdms.data)

T

target_extrema() (torchdms.data.BinaryMapDataset method), [1] TARGETS tdms-prep command line option tdms command line option --version -v tdms-beta command line option --config <config> --out <out> DATA_PATH MODEL_PATH tdms-cartesian command line option CHOICE_JSON_PATH tdms-create command line option --beta-l1-coefficients <beta_l1_coefficients> --config <config> --interaction-l1-coefficients <interaction_l1_coefficients> --monotonic <monotonic> --no-non-lin-bias --no-output-bias --non-lin-bias --output-bias --seed <seed> DATA_PATH MODEL_STRING OUT_PATH tdms-error command line option --config <config> --device <device> --include-details --out <out> --show-points DATA_PATH MODEL_PATH tdms-evaluate command line option --config <config> --device <device> --out <out> DATA_PATH MODEL_PATH tdms-geplot command line option --config <config> --device <device> --out <out> --steps <steps> DATA_PATH MODEL_PATH tdms-go command line option --config <config> tdms-heatmap command line option --config <config> --out <out> MODEL_PATH tdms-prep command line option --config <config> --drop-nans --dry-run --export-dataframe <export_dataframe> --partition-by <partition_by> --per-stratum-variants-for-test <per_stratum_variants_for_test> --seed <seed> --skip-stratum-if-count-is-smaller-than <skip_stratum_if_count_is_smaller_than> --train-on-all-single-mutants IN_PATH OUT_PREFIX TARGETS tdms-profiles command line option --config <config> --out <out> DATA_PATH MODEL_PATH tdms-scatter command line option --config <config> --device <device> --out <out> DATA_PATH MODEL_PATH tdms-summarize command line option --config <config> --out-prefix <out_prefix> DATA_PATH tdms-svd command line option --config <config> --out <out> DATA_PATH MODEL_PATH

tdms-train command line option --batch-size <batch_size> --beta-rank <beta_rank> --config <config> --device <device> --dry-run --epochs <epochs> --exp-target <exp_target> --independent-start-epochs <independent_start_epochs> --independent-starts <independent_starts> --learning-rate <learning_rate> --loss-fn <loss_fn> --loss-weight-span <loss_weight_span> --min-lr <min_lr> --patience <patience> --seed <seed> --simple-training --site-path <site_path> DATA_PATH MODEL_PATH tdms-transfer command line option DEST_PATH SOURCE_PATH tdms-validate command line option DATA_PATH to() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) to_empty() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) to_json_file() (in module torchdms.utils), [1] to_latent() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method), [1] (torchdms.model.FullyConnected method), [1] (torchdms.model.Independent method), [1] (torchdms.model.Linear method), [1] (torchdms.model.TorchdmsModel method), [1] to_pickle_file() (in module torchdms.utils), [1] torchdms module torchdms.analysis module torchdms.cli module torchdms.data module torchdms.evaluation module torchdms.loss module torchdms.model module torchdms.plot module torchdms.utils module TorchdmsModel (class in torchdms.model), [1] train() (torchdms.analysis.Analysis method), [1] (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method) training_style_sequence (torchdms.model.TorchdmsModel attribute), [1] type() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

W

weighted_loss() (in module torchdms.loss), [1]

wt_activity() (torchdms.model.Escape method), [1]

X

xpu() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)

Z

zero_grad() (torchdms.model.Conditional method) (torchdms.model.ConditionalSequential method) (torchdms.model.Escape method) (torchdms.model.FullyConnected method) (torchdms.model.Independent method) (torchdms.model.Linear method) (torchdms.model.TorchdmsModel method)