Index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X

A

  • autoprognosis.plugins.prediction.regression
  • autoprognosis.plugins.prediction.regression.base
  • autoprognosis.plugins.prediction.regression.plugin_bayesian_ridge
  • autoprognosis.plugins.prediction.regression.plugin_catboost_regressor
  • autoprognosis.plugins.prediction.regression.plugin_kneighbors_regressor
  • autoprognosis.plugins.prediction.regression.plugin_linear_regression
  • autoprognosis.plugins.prediction.regression.plugin_mlp_regressor
  • autoprognosis.plugins.prediction.regression.plugin_neural_nets_regression
  • autoprognosis.plugins.prediction.regression.plugin_random_forest_regressor
  • autoprognosis.plugins.prediction.regression.plugin_tabnet_regressor
  • autoprognosis.plugins.prediction.regression.plugin_xgboost_regressor
  • autoprognosis.plugins.prediction.risk_estimation
  • autoprognosis.plugins.prediction.risk_estimation.base
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.cvd
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.cvd.aha
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.cvd.aha.model
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.cvd.framingham
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.cvd.framingham.model
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.cvd.qrisk3
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.cvd.qrisk3.model
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.ada
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.ada.model
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.diabetes_uk
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.diabetes_uk.model
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.finrisk
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.finrisk.model
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.qdiabetes
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.qdiabetes.model
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.prostate_cancer
  • autoprognosis.plugins.prediction.risk_estimation.benchmarks.prostate_cancer.predict
  • autoprognosis.plugins.prediction.risk_estimation.helper_lifelines
  • autoprognosis.plugins.prediction.risk_estimation.plugin_cox_ph
  • autoprognosis.plugins.prediction.risk_estimation.plugin_coxnet
  • autoprognosis.plugins.prediction.risk_estimation.plugin_deephit
  • autoprognosis.plugins.prediction.risk_estimation.plugin_loglogistic_aft
  • autoprognosis.plugins.prediction.risk_estimation.plugin_lognormal_aft
  • autoprognosis.plugins.prediction.risk_estimation.plugin_survival_xgboost
  • autoprognosis.plugins.prediction.risk_estimation.plugin_weibull_aft
  • autoprognosis.plugins.preprocessors
  • autoprognosis.plugins.preprocessors.base
  • autoprognosis.plugins.preprocessors.dimensionality_reduction
  • autoprognosis.plugins.preprocessors.dimensionality_reduction.plugin_fast_ica
  • autoprognosis.plugins.preprocessors.dimensionality_reduction.plugin_feature_agglomeration
  • autoprognosis.plugins.preprocessors.dimensionality_reduction.plugin_gauss_projection
  • autoprognosis.plugins.preprocessors.dimensionality_reduction.plugin_nop
  • autoprognosis.plugins.preprocessors.dimensionality_reduction.plugin_pca
  • autoprognosis.plugins.preprocessors.dimensionality_reduction.plugin_variance_threshold
  • autoprognosis.plugins.preprocessors.feature_scaling
  • autoprognosis.plugins.preprocessors.feature_scaling.plugin_feature_normalizer
  • autoprognosis.plugins.preprocessors.feature_scaling.plugin_maxabs_scaler
  • autoprognosis.plugins.preprocessors.feature_scaling.plugin_minmax_scaler
  • autoprognosis.plugins.preprocessors.feature_scaling.plugin_nop
  • autoprognosis.plugins.preprocessors.feature_scaling.plugin_normal_transform
  • autoprognosis.plugins.preprocessors.feature_scaling.plugin_scaler
  • autoprognosis.plugins.preprocessors.feature_scaling.plugin_uniform_transform
  • autoprognosis.plugins.uncertainty
  • autoprognosis.plugins.uncertainty.base
  • autoprognosis.plugins.uncertainty.plugin_cohort_explainer
  • autoprognosis.plugins.uncertainty.plugin_conformal_prediction
  • autoprognosis.plugins.uncertainty.plugin_jackknife
  • autoprognosis.plugins.utils
  • autoprognosis.plugins.utils.cast
  • autoprognosis.plugins.utils.decorators
  • autoprognosis.plugins.utils.metrics
  • autoprognosis.plugins.utils.simulate
  • autoprognosis.studies
  • autoprognosis.studies._base
  • autoprognosis.studies.classifiers
  • autoprognosis.studies.regression
  • autoprognosis.studies.risk_estimation
  • autoprognosis.utils
  • autoprognosis.utils.data_encoder
  • autoprognosis.utils.distributions
  • autoprognosis.utils.encoder
  • autoprognosis.utils.metrics
  • autoprognosis.utils.pandas
  • autoprognosis.utils.parallel
  • autoprognosis.utils.pip
  • autoprognosis.utils.redis
  • autoprognosis.utils.risk_estimation
  • autoprognosis.utils.serialization
  • autoprognosis.utils.tester
  • autoprognosis.utils.third_party
  • autoprognosis.utils.third_party.metrics
  • autoprognosis.utils.third_party.nonparametric
  • autoprognosis.utils.third_party.util
  • autoprognosis.utils.torch
  • autoprognosis.version
  • average() (in module autoprognosis.plugins.ensemble.combos)
  • average_precision_score() (classifier_metrics method)

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X