Index

_

__call__() (AdaptiveThreshold method) __init__() (AdaptiveThreshold method) (PyTorchEstimatorWrapper method) (SciKitLearnEstimatorWrapper method) (TensorFlowEstimatorWrapper method)

A

AdaptiveThreshold (class in mvtk.thresholding) Approximator() (in module mvtk.supervisor.divergence)

arrayify() (in module mvtk.supervisor.divergence) average_histograms() (in module mvtk.supervisor.divergence)

B

balanced_binary_cross_entropy() (in module mvtk.supervisor.divergence) batch_generator() (in module mvtk.interprenet) bias_variance_0_1_loss() (in module mvtk.bias_variance.bias_variance)

bias_variance_compute() (in module mvtk.bias_variance.bias_variance) bias_variance_compute_parallel() (in module mvtk.bias_variance.bias_variance_parallel) bias_variance_mse() (in module mvtk.bias_variance.bias_variance) bootstrap_train_and_predict() (in module mvtk.bias_variance.bias_variance)

C

cal_div_knn() (in module mvtk.supervisor.divergence) calc_div_variational() (in module mvtk.supervisor.divergence) calc_em() (in module mvtk.supervisor.divergence) calc_hl() (in module mvtk.supervisor.divergence) calc_hl_density() (in module mvtk.supervisor.divergence) calc_hl_mle() (in module mvtk.supervisor.divergence) calc_js() (in module mvtk.supervisor.divergence) calc_js_density() (in module mvtk.supervisor.divergence) calc_js_mle() (in module mvtk.supervisor.divergence) calc_kl_density() (in module mvtk.supervisor.divergence) calc_kl_mle() (in module mvtk.supervisor.divergence) calc_mle() (in module mvtk.supervisor.divergence) calc_tv() (in module mvtk.supervisor.divergence)

calc_tv_density() (in module mvtk.supervisor.divergence) calc_tv_knn() (in module mvtk.supervisor.divergence) calc_tv_lower_bound() (in module mvtk.supervisor.divergence) calc_tv_mle() (in module mvtk.supervisor.divergence) cat_histograms() (in module mvtk.supervisor.divergence) clip() (in module mvtk.interprenet) column_indexes() (in module mvtk.supervisor.utils) compute_divergence_crosstabs() (in module mvtk.supervisor.utils) compute_divergence_crosstabs_split() (in module mvtk.supervisor.utils) constrained_model() (in module mvtk.interprenet) ConstrainedDense() (in module mvtk.interprenet) credible_interval() (in module mvtk.credibility) cross_entropy() (in module mvtk.interprenet)

E

EstimatorWrapper (class in mvtk.bias_variance.estimators)

expected_utility() (in module mvtk.thresholding) exploration_proportion() (in module mvtk.thresholding)

F

fdiv_data_stream() (in module mvtk.supervisor.divergence) fdiv_loss() (in module mvtk.supervisor.divergence) fit() (EstimatorWrapper method) (PyTorchEstimatorWrapper method) (SciKitLearnEstimatorWrapper method) (TensorFlowEstimatorWrapper method)

G

get_best_threshold() (AdaptiveThreshold method) get_density_estimators() (in module mvtk.supervisor.divergence)

get_distance_matrix() (in module mvtk.supervisor.divergence) get_drift_series() (in module mvtk.supervisor.divergence) get_values() (in module mvtk.bias_variance.bias_variance)

H

histogram() (in module mvtk.supervisor.divergence)

I

identity() (in module mvtk.interprenet)

ipm_loss() (in module mvtk.supervisor.divergence)

J

js_data_stream() (in module mvtk.supervisor.divergence)

L

lipschitz_constraint() (in module mvtk.interprenet)

M

metric_from_density() (in module mvtk.supervisor.divergence) module mvtk.bias_variance.bias_variance mvtk.bias_variance.bias_variance_parallel mvtk.bias_variance.estimators mvtk.credibility mvtk.interprenet mvtk.metrics mvtk.sobol mvtk.supervisor.divergence mvtk.supervisor.processing mvtk.supervisor.utils mvtk.thresholding monotonic_constraint() (in module mvtk.interprenet) monotonicity() (in module mvtk.metrics) mvtk.bias_variance.bias_variance module mvtk.bias_variance.bias_variance_parallel module

mvtk.bias_variance.estimators module mvtk.credibility module mvtk.interprenet module mvtk.metrics module mvtk.sobol module mvtk.supervisor.divergence module mvtk.supervisor.processing module mvtk.supervisor.utils module mvtk.thresholding module

N

net() (in module mvtk.interprenet) normalize_ts_column() (in module mvtk.supervisor.processing)

normalize_ts_columns() (in module mvtk.supervisor.processing) normalized_mutual_info() (in module mvtk.metrics) NormalizedLinear() (in module mvtk.supervisor.divergence)

O

optimal_threshold() (in module mvtk.thresholding)

P

parallel() (in module mvtk.supervisor.utils) parameterized_loss() (in module mvtk.interprenet) plot() (in module mvtk.interprenet) plot_divergence_crosstabs_3d() (in module mvtk.supervisor.utils) plot_err() (in module mvtk.thresholding) predict() (EstimatorWrapper method) (PyTorchEstimatorWrapper method) (SciKitLearnEstimatorWrapper method) (TensorFlowEstimatorWrapper method)

prob_below() (in module mvtk.credibility) prob_greater_cmp() (in module mvtk.credibility) PyTorchEstimatorWrapper (class in mvtk.bias_variance.estimators)

R

rank_auc() (in module mvtk.metrics)

replace_nulls() (in module mvtk.supervisor.processing) roc_auc_preprocess() (in module mvtk.credibility)

S

sample_utilities() (in module mvtk.thresholding) SciKitLearnEstimatorWrapper (class in mvtk.bias_variance.estimators) sigmoid_clip() (in module mvtk.interprenet)

sobol() (in module mvtk.sobol) SortLayer() (in module mvtk.interprenet) sparse_wrapper() (in module mvtk.supervisor.divergence) split() (in module mvtk.supervisor.utils)

T

TensorFlowEstimatorWrapper (class in mvtk.bias_variance.estimators) thompson_sample() (in module mvtk.thresholding)

thread() (in module mvtk.interprenet) train() (in module mvtk.interprenet) train_and_predict() (in module mvtk.bias_variance.bias_variance)

U

update_rates() (in module mvtk.thresholding)