pyESD
Getting Started:
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tutorials
Practical examples
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API Reference
pyESD
Index
Index
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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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H
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I
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L
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M
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N
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P
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R
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S
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T
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Y
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_get_active() (in module pyESD.MLR_model)
_get_month() (in module pyESD.ESD_utils)
(in module pyESD.teleconnections)
A
add_seasonal_cycle() (in module pyESD.standardizer)
adjusted_r2() (pyESD.metrics.Evaluate method)
alpha() (pyESD.models.MetaAttributes method)
apply_style() (in module pyESD.plot_utils)
average_additional_results() (pyESD.MLR_model.ForwardSelection method)
average_coefs() (pyESD.MLR_model.ForwardSelection method)
B
barplot() (in module pyESD.plot)
barplot_data() (in module pyESD.plot_utils)
best_estimator() (pyESD.models.HyperparameterOptimize method)
(pyESD.models.MetaAttributes method)
best_params() (pyESD.models.MetaAttributes method)
BootstrappedForwardSelection (class in pyESD.MLR_model)
BootstrappedRegression (class in pyESD.MLR_model)
boxplot() (in module pyESD.plot)
boxplot_data() (in module pyESD.plot_utils)
build_model() (pyESD.dense_models.DeepLearningRegressor method)
C
climate_score() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
coef() (pyESD.models.MetaAttributes method)
compile_model() (pyESD.dense_models.DeepLearningRegressor method)
ComputeStat() (in module pyESD.ESD_utils)
convert_to_sklearn_regressor() (pyESD.dense_models.DeepLearningRegressor method)
correlation_data() (in module pyESD.plot_utils)
correlation_heatmap() (in module pyESD.plot)
count_predictors() (in module pyESD.plot_utils)
cross_val_predict() (pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.models.HyperparameterOptimize method)
(pyESD.models.Regressors method)
cross_val_score() (pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.models.HyperparameterOptimize method)
(pyESD.models.Regressors method)
cross_validate() (pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.models.HyperparameterOptimize method)
(pyESD.models.Regressors method)
cross_validate_and_predict() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
cv_test_score() (pyESD.feature_selection.RecursiveFeatureElimination method)
D
Dataset (class in pyESD.ESD_utils)
DeepLearningRegressor (class in pyESD.dense_models)
E
EA (class in pyESD.teleconnections)
EAWR (class in pyESD.teleconnections)
ensemble_transform() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
EnsembleRegressor (class in pyESD.ensemble_models)
eof_analysis() (in module pyESD.teleconnections)
Evaluate (class in pyESD.metrics)
evaluate() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
explained_variance() (pyESD.metrics.Evaluate method)
extract_comparison_data_means() (in module pyESD.plot_utils)
extract_indices_around() (in module pyESD.ESD_utils)
extract_region() (in module pyESD.ESD_utils)
(in module pyESD.teleconnections)
extract_time_series() (in module pyESD.plot_utils)
F
feature_importance() (pyESD.feature_selection.TreeBasedSelection method)
fit() (pyESD.dense_models.DeepLearningRegressor method)
(pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.feature_selection.RecursiveFeatureElimination method)
(pyESD.feature_selection.SequentialFeatureSelection method)
(pyESD.feature_selection.TreeBasedSelection method)
(pyESD.MLR_model.BootstrappedRegression method)
(pyESD.MLR_model.ForwardSelection method)
(pyESD.MLR_model.MultipleLSRegression method)
(pyESD.models.HyperparameterOptimize method)
(pyESD.models.Regressors method)
(pyESD.predictand.PredictandTimeseries method)
(pyESD.Predictor_Base.Predictor method)
(pyESD.standardizer.MonthlyStandardizer method)
(pyESD.standardizer.NoStandardizer method)
(pyESD.standardizer.PCAScaling method)
(pyESD.standardizer.StandardScaling method)
(pyESD.StationOperator.StationOperator method)
fit_active() (pyESD.MLR_model.ForwardSelection method)
fit_predict() (pyESD.MLR_model.BootstrappedRegression method)
fit_predictor() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
fit_transform() (pyESD.standardizer.PCAScaling method)
ForwardSelection (class in pyESD.MLR_model)
G
get() (pyESD.ESD_utils.Dataset method)
(pyESD.predictand.PredictandTimeseries method)
(pyESD.Predictor_Base.Predictor method)
get_annual_mean_cycle() (in module pyESD.standardizer)
get_explained_variance() (pyESD.StationOperator.StationOperator method)
get_mean_prediction() (in module pyESD.standardizer)
get_n_splits() (pyESD.splitter.Splitter method)
get_params() (pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.models.MetaAttributes method)
get_var() (pyESD.StationOperator.StationOperator method)
H
haversine() (in module pyESD.ESD_utils)
heatmaps() (in module pyESD.plot)
HyperparameterOptimize (class in pyESD.models)
I
intercept() (pyESD.models.MetaAttributes method)
inverse_transform() (pyESD.standardizer.MonthlyStandardizer method)
(pyESD.standardizer.NoStandardizer method)
(pyESD.standardizer.PCAScaling method)
(pyESD.standardizer.StandardScaling method)
L
levene_test() (in module pyESD.ESD_utils)
lineplot() (in module pyESD.plot)
load() (pyESD.Predictor_Base.Predictor method)
load_all_stations() (in module pyESD.ESD_utils)
load_csv() (in module pyESD.ESD_utils)
load_pickle() (in module pyESD.ESD_utils)
load_station() (in module pyESD.StationOperator)
M
MAE() (pyESD.metrics.Evaluate method)
map_to_xarray() (in module pyESD.ESD_utils)
max_error() (pyESD.metrics.Evaluate method)
MEI (class in pyESD.teleconnections)
MetaAttributes (class in pyESD.models)
MidpointNormalize (class in pyESD.ESD_utils)
module
pyESD
pyESD.dense_models
pyESD.ensemble_models
pyESD.ESD_utils
pyESD.feature_selection
pyESD.metrics
pyESD.MLR_model
pyESD.models
pyESD.plot
pyESD.plot_utils
pyESD.predictand
pyESD.Predictor_Base
pyESD.Predictor_Generator
pyESD.splitter
pyESD.standardizer
pyESD.StationOperator
pyESD.teleconnections
pyESD.Weatherstation
monthly_mean() (in module pyESD.plot_utils)
MonthlyBooststrapper (class in pyESD.splitter)
MonthlyStandardizer (class in pyESD.standardizer)
MSE() (pyESD.metrics.Evaluate method)
MultipleLSRegression (class in pyESD.MLR_model)
N
NAO (class in pyESD.teleconnections)
NoStandardizer (class in pyESD.standardizer)
NSE() (pyESD.metrics.Evaluate method)
P
PCAScaling (class in pyESD.standardizer)
permutation_importance_() (pyESD.feature_selection.TreeBasedSelection method)
plot() (pyESD.Predictor_Base.Predictor method)
plot_background() (in module pyESD.ESD_utils)
plot_cov_matrix() (pyESD.teleconnections.EA method)
(pyESD.teleconnections.EAWR method)
(pyESD.teleconnections.NAO method)
(pyESD.teleconnections.SCAN method)
plot_ks_stats() (in module pyESD.ESD_utils)
plot_monthly_mean() (in module pyESD.plot)
plot_network() (pyESD.dense_models.DeepLearningRegressor method)
plot_projection_comparison() (in module pyESD.plot)
plot_time_series() (in module pyESD.plot)
predict() (pyESD.dense_models.DeepLearningRegressor method)
(pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.MLR_model.BootstrappedRegression method)
(pyESD.MLR_model.ForwardSelection method)
(pyESD.MLR_model.MultipleLSRegression method)
(pyESD.models.Regressors method)
(pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
predict_active() (pyESD.MLR_model.ForwardSelection method)
predict_average() (pyESD.ensemble_models.EnsembleRegressor method)
predict_log_proba() (pyESD.models.HyperparameterOptimize method)
PredictandTimeseries (class in pyESD.predictand)
prediction_example_data() (in module pyESD.plot_utils)
Predictor (class in pyESD.Predictor_Base)
predictor_correlation() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
print_selected_features() (pyESD.feature_selection.RecursiveFeatureElimination method)
(pyESD.feature_selection.SequentialFeatureSelection method)
(pyESD.feature_selection.TreeBasedSelection method)
pyESD
module
pyESD.dense_models
module
pyESD.ensemble_models
module
pyESD.ESD_utils
module
pyESD.feature_selection
module
pyESD.metrics
module
pyESD.MLR_model
module
pyESD.models
module
pyESD.plot
module
pyESD.plot_utils
module
pyESD.predictand
module
pyESD.Predictor_Base
module
pyESD.Predictor_Generator
module
pyESD.splitter
module
pyESD.standardizer
module
pyESD.StationOperator
module
pyESD.teleconnections
module
pyESD.Weatherstation
module
R
R2_score() (pyESD.metrics.Evaluate method)
ranksums_test() (in module pyESD.ESD_utils)
read_station_csv() (in module pyESD.Weatherstation)
read_weatherstationnames() (in module pyESD.Weatherstation)
read_weatherstations() (in module pyESD.Weatherstation)
RecursiveFeatureElimination (class in pyESD.feature_selection)
RegionalAverage (class in pyESD.Predictor_Generator)
Regressors (class in pyESD.models)
relative_predictor_importance() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
remove_seasonal_cycle() (in module pyESD.standardizer)
resample_monthly() (in module pyESD.plot_utils)
resample_seasonally() (in module pyESD.plot_utils)
RMSE() (pyESD.metrics.Evaluate method)
S
save() (pyESD.Predictor_Base.Predictor method)
(pyESD.StationOperator.StationOperator method)
SCAN (class in pyESD.teleconnections)
scatterplot() (in module pyESD.plot)
score() (pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.feature_selection.RecursiveFeatureElimination method)
(pyESD.feature_selection.SequentialFeatureSelection method)
(pyESD.models.HyperparameterOptimize method)
(pyESD.models.Regressors method)
seasonal_mean() (in module pyESD.plot_utils)
selected_names() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
SequentialFeatureSelection (class in pyESD.feature_selection)
set_additional_results() (pyESD.MLR_model.ForwardSelection method)
set_expand_coefs() (pyESD.MLR_model.MultipleLSRegression method)
set_model() (pyESD.models.Regressors method)
(pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
set_params() (pyESD.models.MetaAttributes method)
set_predictors() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
set_standardizer() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
set_transform() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
split() (pyESD.splitter.MonthlyBooststrapper method)
(pyESD.splitter.Splitter method)
(pyESD.splitter.YearlyBootstrapper method)
Splitter (class in pyESD.splitter)
StackArray() (in module pyESD.ESD_utils)
StandardScaling (class in pyESD.standardizer)
StationOperator (class in pyESD.StationOperator)
StatTest() (in module pyESD.ESD_utils)
store_csv() (in module pyESD.ESD_utils)
store_pickle() (in module pyESD.ESD_utils)
T
transform() (pyESD.ensemble_models.EnsembleRegressor method)
(pyESD.feature_selection.RecursiveFeatureElimination method)
(pyESD.feature_selection.SequentialFeatureSelection method)
(pyESD.feature_selection.TreeBasedSelection method)
(pyESD.models.HyperparameterOptimize method)
(pyESD.standardizer.MonthlyStandardizer method)
(pyESD.standardizer.NoStandardizer method)
(pyESD.standardizer.PCAScaling method)
(pyESD.standardizer.StandardScaling method)
tree_based_feature_importance() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
tree_based_feature_permutation_importance() (pyESD.predictand.PredictandTimeseries method)
(pyESD.StationOperator.StationOperator method)
TreeBasedSelection (class in pyESD.feature_selection)
Y
YearlyBootstrapper (class in pyESD.splitter)