Index

A

accuracy() (statinf.ml.performance.BinaryPerformance method) AdaGrad (class in statinf.ml.optimizers) Adam (class in statinf.ml.optimizers) AdaMax (class in statinf.ml.optimizers)

add() (statinf.ml.neuralnetwork.MLP method) adf_test() (in module statinf.stats.timeseries) adjusted_r_squared() (statinf.regressions.glm.GLM method) (statinf.regressions.LinearModels.OLS method)

B

binary_accuracy() (in module statinf.ml.losses)

binary_cross_entropy() (in module statinf.ml.losses) BinaryPerformance (class in statinf.ml.performance)

C

closest_centroid() (statinf.stats.unsupervised.KMeans method) CMPoisson (class in statinf.distributions.discrete) coint_test() (in module statinf.stats.timeseries)

confusion() (statinf.ml.performance.BinaryPerformance method) cov() (in module statinf.stats.descriptive) create_dataset() (in module statinf.data.ProcessData)

D

Discrete (class in statinf.distributions.discrete)

dispersion_test() (in module statinf.stats.tests)

E

elu() (in module statinf.ml.activations)

F

F1_score() (statinf.ml.performance.BinaryPerformance method) fit() (statinf.distributions.discrete.CMPoisson method) (statinf.distributions.discrete.NegativeBinomial method) (statinf.distributions.discrete.Poisson method) (statinf.ml.neuralnetwork.MLP method) (statinf.regressions.glm.GLM method) (statinf.regressions.LinearModels.LinearBayes method) (statinf.stats.bayesian.GGM method) (statinf.stats.unsupervised.GaussianMixture method) (statinf.stats.unsupervised.KMeans method)

fitted_values() (statinf.regressions.LinearModels.OLS method)

G

gaussian() (in module statinf.nonparametrics.kernels) GaussianMixture (class in statinf.stats.unsupervised) generate_dataset() (in module statinf.data.GenerateData) get_betas() (statinf.regressions.LinearModels.OLS method)

get_distance() (statinf.stats.unsupervised.KMeans method) get_weights() (statinf.ml.neuralnetwork.MLP method) GGM (class in statinf.stats.bayesian) GLM (class in statinf.regressions.glm)

I

init_params() (in module statinf.ml.initializations)

K

KMeans (class in statinf.stats.unsupervised)

kstest() (in module statinf.stats.tests)

L

Layer (class in statinf.ml.neuralnetwork) LinearBayes (class in statinf.regressions.LinearModels)

log_stability() (in module statinf.ml.losses) logit() (in module statinf.ml.activations) logp() (statinf.distributions.discrete.Discrete method)

M

mape() (in module statinf.ml.performance) mean_squared_error() (in module statinf.ml.losses) (in module statinf.ml.performance) MinMax() (statinf.data.ProcessData.Scaler method) MLP (class in statinf.ml.neuralnetwork) module statinf.data.GenerateData statinf.data.ProcessData statinf.distributions.discrete statinf.ml.activations statinf.ml.initializations statinf.ml.losses statinf.ml.neuralnetwork statinf.ml.optimizers statinf.ml.performance statinf.nonparametrics.kernels statinf.regressions.glm statinf.regressions.LinearModels statinf.stats.bayesian statinf.stats.descriptive statinf.stats.tests statinf.stats.timeseries statinf.stats.unsupervised

move_centroids() (statinf.stats.unsupervised.KMeans method) multivariate_time_series() (in module statinf.data.ProcessData)

N

NegativeBinomial (class in statinf.distributions.discrete) nll() (statinf.distributions.discrete.Discrete static method) nloglike() (statinf.distributions.discrete.CMPoisson static method) (statinf.distributions.discrete.NegativeBinomial static method) (statinf.distributions.discrete.Poisson static method)

Normalize() (statinf.data.ProcessData.Scaler method)

O

OLS (class in statinf.regressions.LinearModels)

OneHotEncoding() (in module statinf.data.ProcessData) Optimizer (class in statinf.ml.optimizers)

P

parse_formula() (in module statinf.data.ProcessData) partial_effects() (statinf.regressions.glm.GLM method) pearson() (in module statinf.stats.descriptive) plot_decision_boundary() (statinf.stats.bayesian.GGM method) plot_posterior_line() (statinf.regressions.LinearModels.LinearBayes method) plot_weight_distributions() (statinf.regressions.LinearModels.LinearBayes method) pmf() (statinf.distributions.discrete.CMPoisson method) (statinf.distributions.discrete.Discrete method) (statinf.distributions.discrete.NegativeBinomial method) (statinf.distributions.discrete.Poisson method)

Poisson (class in statinf.distributions.discrete) precision() (statinf.ml.performance.BinaryPerformance method) predict() (statinf.ml.neuralnetwork.MLP method) (statinf.regressions.glm.GLM method) (statinf.regressions.LinearModels.OLS method) (statinf.stats.bayesian.GGM method) predict_proba() (statinf.stats.bayesian.GGM method)

R

r_squared() (statinf.regressions.glm.GLM method) (statinf.regressions.LinearModels.OLS method) rankdata() (in module statinf.data.ProcessData)

recall() (statinf.ml.performance.BinaryPerformance method) relu() (in module statinf.ml.activations) RMSprop (class in statinf.ml.optimizers) rss() (statinf.regressions.LinearModels.OLS method)

S

sample() (statinf.distributions.discrete.Discrete method) Scaler (class in statinf.data.ProcessData) SGD (class in statinf.ml.optimizers) sigmoid() (in module statinf.ml.activations) silhouette_score() (statinf.stats.unsupervised.KMeans method) softmax() (in module statinf.ml.activations) softplus() (in module statinf.ml.activations) spearman() (in module statinf.stats.descriptive) split_sequences() (in module statinf.data.ProcessData) statinf.data.GenerateData module statinf.data.ProcessData module statinf.distributions.discrete module statinf.ml.activations module statinf.ml.initializations module statinf.ml.losses module statinf.ml.neuralnetwork module

statinf.ml.optimizers module statinf.ml.performance module statinf.nonparametrics.kernels module statinf.regressions.glm module statinf.regressions.LinearModels module statinf.stats.bayesian module statinf.stats.descriptive module statinf.stats.tests module statinf.stats.timeseries module statinf.stats.unsupervised module summary() (statinf.regressions.glm.GLM method) (statinf.regressions.LinearModels.OLS method)

T

tanh() (in module statinf.ml.activations) tss() (statinf.regressions.LinearModels.OLS method)

ttest() (in module statinf.stats.tests) ttest_2samp() (in module statinf.stats.tests)

U

unscaleMinMax() (statinf.data.ProcessData.Scaler method) unscaleNormalize() (statinf.data.ProcessData.Scaler method) update() (statinf.ml.optimizers.AdaGrad method) (statinf.ml.optimizers.Adam method) (statinf.ml.optimizers.AdaMax method) (statinf.ml.optimizers.RMSprop method) (statinf.ml.optimizers.SGD method)

updates() (statinf.ml.optimizers.Optimizer method)

V

var() (in module statinf.stats.descriptive)

variance() (statinf.regressions.glm.GLM method)

W

wilcoxon() (in module statinf.stats.tests)

Z

Z() (statinf.distributions.discrete.CMPoisson static method)