GrainLearning
docu
Contents:
Introduction
Installation
Dynamic systems
Bayesian filtering
RNN Module
Tutorials
Examples
Contributing guidelines
Python API
GrainLearning
Index
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Index
A
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B
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C
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D
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E
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F
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G
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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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R
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S
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T
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W
A
add_curr_param_data_to_list() (IterativeBayesianFilter method)
B
backup_sim_data() (DynamicSystem class method)
(IODynamicSystem method)
BayesianCalibration (class in grainlearning.bayesian_calibration)
C
calibration (BayesianCalibration attribute)
callback (DynamicSystem attribute)
(IODynamicSystem attribute)
check_config() (PreprocessorTriaxialCompression class method)
compute_effective_sample_size() (SMC method)
compute_estimated_params() (DynamicSystem method)
(IODynamicSystem method)
compute_inv_normalized_sigma() (DynamicSystem method)
(IODynamicSystem method)
cov_matrices (SMC attribute)
covariance_type (GaussianMixtureModel attribute)
ctrl_data (DynamicSystem attribute)
(IODynamicSystem attribute)
ctrl_name (DynamicSystem attribute)
(IODynamicSystem attribute)
curr_iter (BayesianCalibration attribute)
(DynamicSystem attribute)
(IODynamicSystem attribute)
D
data_assimilation_loop() (SMC method)
draw_samples_within_bounds() (GaussianMixtureModel method)
DynamicSystem (class in grainlearning.dynamic_systems)
E
ess (SMC attribute)
ess_target (SMC attribute)
ess_tol (IterativeBayesianFilter attribute)
estimated_params (DynamicSystem attribute)
(IODynamicSystem attribute)
estimated_params_cv (DynamicSystem attribute)
(IODynamicSystem attribute)
expand_and_normalize_weighted_samples() (GaussianMixtureModel method)
expand_factor (GaussianMixtureModel attribute)
extract_tensors() (in module grainlearning.rnn.windows)
F
from_dict() (BayesianCalibration class method)
(DynamicSystem class method)
(GaussianMixtureModel class method)
(IODynamicSystem class method)
(IterativeBayesianFilter class method)
(SMC class method)
G
GaussianMixtureModel (class in grainlearning.sampling)
generate_params_qmc() (in module grainlearning.sampling)
get_best_run_from_sweep() (in module grainlearning.rnn.predict)
get_covariance_matrices() (SMC method)
get_default_config() (in module grainlearning.rnn.train)
(PreprocessorTriaxialCompression class method)
get_dimensions() (Preprocessor class method)
(PreprocessorTriaxialCompression class method)
get_inv_normalized_sigma() (DynamicSystem method)
(IODynamicSystem method)
get_likelihoods() (SMC static method)
get_most_prob_params() (BayesianCalibration method)
get_obs_data() (IODynamicSystem method)
get_posterior_at_time() (SMC method)
get_posteriors() (SMC static method)
get_pretrained_model() (in module grainlearning.rnn.predict)
get_sim_data_files() (DynamicSystem class method)
(IODynamicSystem method)
get_split() (Preprocessor class method)
(PreprocessorTriaxialCompression class method)
gmm (GaussianMixtureModel attribute)
grainlearning.bayesian_calibration
module
grainlearning.dynamic_systems
module
grainlearning.inference
module
grainlearning.iterative_bayesian_filter
module
grainlearning.rnn.models
module
grainlearning.rnn.predict
module
grainlearning.rnn.preprocessor
module
grainlearning.rnn.train
module
grainlearning.rnn.windows
module
grainlearning.sampling
module
I
increase_curr_iter() (BayesianCalibration method)
inference (IterativeBayesianFilter attribute)
init_params (GaussianMixtureModel attribute)
initial_sampling (IterativeBayesianFilter attribute)
initialize() (IterativeBayesianFilter method)
inv_obs_weight (DynamicSystem attribute)
(IODynamicSystem attribute)
IODynamicSystem (class in grainlearning.dynamic_systems)
IterativeBayesianFilter (class in grainlearning.iterative_bayesian_filter)
L
likelihoods (SMC attribute)
load_and_process() (BayesianCalibration method)
load_and_run_one_iteration() (BayesianCalibration method)
load_config() (in module grainlearning.rnn.predict)
load_gmm_from_file() (GaussianMixtureModel method)
load_model() (in module grainlearning.rnn.predict)
load_param_data() (DynamicSystem class method)
(IODynamicSystem method)
load_proposal_from_file() (IterativeBayesianFilter method)
load_sim_data() (DynamicSystem class method)
(IODynamicSystem method)
load_system() (BayesianCalibration method)
M
make_splits() (Preprocessor class method)
(PreprocessorTriaxialCompression class method)
max_iter (GaussianMixtureModel attribute)
max_num_components (GaussianMixtureModel attribute)
max_params (GaussianMixtureModel attribute)
module
grainlearning.bayesian_calibration
grainlearning.dynamic_systems
grainlearning.inference
grainlearning.iterative_bayesian_filter
grainlearning.rnn.models
grainlearning.rnn.predict
grainlearning.rnn.preprocessor
grainlearning.rnn.train
grainlearning.rnn.windows
grainlearning.sampling
N
n_init (GaussianMixtureModel attribute)
num_ctrl (DynamicSystem attribute)
(IODynamicSystem attribute)
num_iter (BayesianCalibration attribute)
num_obs (DynamicSystem attribute)
(IODynamicSystem attribute)
num_params (DynamicSystem attribute)
(IODynamicSystem attribute)
num_samples (DynamicSystem attribute)
(IODynamicSystem attribute)
num_steps (DynamicSystem attribute)
(IODynamicSystem attribute)
O
obs_data (DynamicSystem attribute)
(IODynamicSystem attribute)
obs_data_file (IODynamicSystem attribute)
obs_names (DynamicSystem attribute)
(IODynamicSystem attribute)
P
pad_initial() (Preprocessor class method)
(PreprocessorTriaxialCompression class method)
param_data (DynamicSystem attribute)
(IODynamicSystem attribute)
param_data_file (IODynamicSystem attribute)
param_data_list (IterativeBayesianFilter attribute)
param_data_prev (DynamicSystem attribute)
(IODynamicSystem attribute)
param_max (DynamicSystem attribute)
(IODynamicSystem attribute)
param_min (DynamicSystem attribute)
(IODynamicSystem attribute)
param_names (DynamicSystem attribute)
(IODynamicSystem attribute)
plot_uq_in_time() (BayesianCalibration method)
posterior (IterativeBayesianFilter attribute)
posteriors (SMC attribute)
predict_macroscopics() (in module grainlearning.rnn.predict)
predict_over_windows() (in module grainlearning.rnn.windows)
prepare_datasets() (Preprocessor method)
(PreprocessorTriaxialCompression method)
prepare_single_dataset() (Preprocessor method)
(PreprocessorTriaxialCompression method)
Preprocessor (class in grainlearning.rnn.preprocessor)
PreprocessorTriaxialCompression (class in grainlearning.rnn.preprocessor)
proposal (IterativeBayesianFilter attribute)
proposal_data_file (IterativeBayesianFilter attribute)
R
random_state (GaussianMixtureModel attribute)
regenerate_params() (GaussianMixtureModel method)
resample() (BayesianCalibration method)
reset_inv_normalized_sigma() (DynamicSystem method)
(IODynamicSystem method)
rnn_model() (in module grainlearning.rnn.models)
run() (BayesianCalibration method)
(DynamicSystem method)
(IODynamicSystem method)
run_inference() (IterativeBayesianFilter method)
run_one_iteration() (BayesianCalibration method)
run_sampling() (IterativeBayesianFilter method)
S
sampling (IterativeBayesianFilter attribute)
save_fig (BayesianCalibration attribute)
save_gmm_to_file() (GaussianMixtureModel method)
save_proposal_to_file() (IterativeBayesianFilter method)
scale_cov_with_max (SMC attribute)
set_curr_iter() (BayesianCalibration method)
set_param_data() (DynamicSystem method)
(IODynamicSystem method)
set_sim_data() (DynamicSystem method)
(IODynamicSystem method)
sigma_list (IterativeBayesianFilter attribute)
sigma_max (DynamicSystem attribute)
(IODynamicSystem attribute)
sigma_min (DynamicSystem attribute)
(IODynamicSystem attribute)
sigma_tol (DynamicSystem attribute)
(IODynamicSystem attribute)
sim_data (DynamicSystem attribute)
(IODynamicSystem attribute)
sim_data_dir (IODynamicSystem attribute)
sim_data_file_ext (IODynamicSystem attribute)
sim_data_files (IODynamicSystem attribute)
sim_name (DynamicSystem attribute)
(IODynamicSystem attribute)
slice_sampling (GaussianMixtureModel attribute)
SMC (class in grainlearning.inference)
solve() (IterativeBayesianFilter method)
standardize_outputs() (Preprocessor class method)
(PreprocessorTriaxialCompression class method)
system (BayesianCalibration attribute)
T
tol (GaussianMixtureModel attribute)
train() (GaussianMixtureModel method)
(in module grainlearning.rnn.train)
train_without_wandb() (in module grainlearning.rnn.train)
W
warm_start (GaussianMixtureModel attribute)
warning_config_field() (Preprocessor class method)
(PreprocessorTriaxialCompression class method)
weight_concentration_prior (GaussianMixtureModel attribute)
windowize_single_dataset() (in module grainlearning.rnn.windows)
windowize_train_val_test() (in module grainlearning.rnn.windows)
write_params_to_table() (DynamicSystem class method)
(IODynamicSystem method)
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