Index

_

_obj (gval.accessors.gval_array.GVALArray attribute) (gval.accessors.gval_dataframe.GVALDataFrame attribute) (gval.accessors.gval_dataset.GVALDataset attribute) (gval.accessors.gval_xarray.GVALXarray attribute)

A

accuracy() (in module gval.statistics.categorical_stat_funcs) adjust_memory_strategy() (in module gval.utils.loading_datasets) agreement_values (gval.utils.schemas.Crosstab_df attribute) attribute_1_benchmark (gval.utils.schemas.AttributeTrackingDf attribute) attribute_1_candidate (gval.utils.schemas.AttributeTrackingDf attribute) attribute_2_benchmark (gval.utils.schemas.AttributeTrackingDf attribute)

attribute_2_candidate (gval.utils.schemas.AttributeTrackingDf attribute) attribute_tracking() (gval.accessors.gval_xarray.GVALXarray method) AttributeTrackingDf (class in gval.utils.schemas) AttributeTrackingDf.Config (class in gval.utils.schemas) available_functions() (gval.comparison.compute_comparison.ComparisonProcessing method) (gval.statistics.categorical_statistics.CategoricalStatistics method) (gval.statistics.continuous_statistics.ContinuousStatistics method)

B

balanced_accuracy() (in module gval.statistics.categorical_stat_funcs)

band (gval.utils.schemas.Sample_identifiers attribute) benchmark_values (gval.utils.schemas.Crosstab_df attribute)

C

candidate_values (gval.utils.schemas.Crosstab_df attribute) cat_plot() (gval.accessors.gval_xarray.GVALXarray method) catalog_compare() (in module gval.catalogs.catalogs) categorical_compare() (gval.accessors.gval_xarray.GVALXarray method) CategoricalStatistics (class in gval.statistics.categorical_statistics) check_same_type() (gval.accessors.gval_xarray.GVALXarray method) coefficient_of_determination() (in module gval.statistics.continuous_stat_funcs) coerce (gval.utils.schemas.AttributeTrackingDf.Config attribute) (gval.utils.schemas.Conditions_df.Config attribute) (gval.utils.schemas.Crosstab_df.Config attribute) (gval.utils.schemas.Metrics_df.Config attribute) (gval.utils.schemas.Pivoted_crosstab_df.Config attribute) (gval.utils.schemas.Prob_metrics_df.Config attribute) (gval.utils.schemas.Sample_identifiers.Config attribute) (gval.utils.schemas.Subsample_identifiers.Config attribute) (gval.utils.schemas.SubsamplingDf.Config attribute) (gval.utils.schemas.Xrspatial_crosstab_df.Config attribute) col_idx (gval.utils.schemas.Pivoted_crosstab_df attribute)

column_index_name() (gval.utils.schemas.Pivoted_crosstab_df class method) columns() (gval.utils.schemas.columns_method class method) columns_method (class in gval.utils.schemas) columns_method.Config (class in gval.utils.schemas) comparison_function_from_string() (gval.comparison.compute_comparison.ComparisonProcessing method) ComparisonProcessing (class in gval.comparison.compute_comparison) compute_agreement_map() (gval.accessors.gval_xarray.GVALXarray method) compute_categorical_metrics() (gval.accessors.gval_dataframe.GVALDataFrame method) compute_crosstab() (gval.accessors.gval_xarray.GVALXarray method) Conditions_df (class in gval.utils.schemas) Conditions_df.Config (class in gval.utils.schemas) cont_plot() (gval.accessors.gval_xarray.GVALXarray method) continuous_compare() (gval.accessors.gval_xarray.GVALXarray method) ContinuousStatistics (class in gval.statistics.continuous_statistics) counts (gval.utils.schemas.Crosstab_df attribute) create_subsampling_df() (gval.accessors.gval_dataframe.GVALDataFrame method) critical_success_index() (in module gval.statistics.categorical_stat_funcs) Crosstab_df (class in gval.utils.schemas) Crosstab_df.Config (class in gval.utils.schemas)

D

data_type (gval.accessors.gval_array.GVALArray attribute) (gval.accessors.gval_dataset.GVALDataset attribute) (gval.accessors.gval_xarray.GVALXarray attribute)

E

equitable_threat_score() (in module gval.statistics.categorical_stat_funcs)

F

f_score() (in module gval.statistics.categorical_stat_funcs) false_discovery_rate() (in module gval.statistics.categorical_stat_funcs) false_negative_rate() (in module gval.statistics.categorical_stat_funcs) false_omission_rate() (in module gval.statistics.categorical_stat_funcs) false_positive_rate() (in module gval.statistics.categorical_stat_funcs)

fn (gval.utils.schemas.Conditions_df attribute) fowlkes_mallows_index() (in module gval.statistics.categorical_stat_funcs) fp (gval.utils.schemas.Conditions_df attribute) function_signature_check() (gval.comparison.compute_comparison.ComparisonProcessing method) (gval.statistics.categorical_statistics.CategoricalStatistics method) (gval.statistics.continuous_statistics.ContinuousStatistics method)

G

geometry (gval.utils.schemas.SubsamplingDf attribute) get_all_parameters() (gval.comparison.compute_comparison.ComparisonProcessing method) (gval.statistics.categorical_statistics.CategoricalStatistics method) (gval.statistics.continuous_statistics.ContinuousStatistics method) get_current_memory_strategy() (in module gval.utils.loading_datasets) get_parameters() (gval.comparison.compute_comparison.ComparisonProcessing method) (gval.statistics.categorical_statistics.CategoricalStatistics method) (gval.statistics.continuous_statistics.ContinuousStatistics method) get_subsample_percent() (in module gval.subsampling.subsampling) gval.accessors.gval_array module gval.accessors.gval_dataframe module gval.accessors.gval_dataset module gval.accessors.gval_xarray module gval.catalogs.catalogs module gval.comparison.compute_comparison module

gval.comparison.pairing_functions module gval.statistics.categorical_stat_funcs module gval.statistics.categorical_statistics module gval.statistics.continuous_stat_funcs module gval.statistics.continuous_statistics module gval.subsampling.subsampling module gval.utils.exceptions module gval.utils.loading_datasets module gval.utils.schemas module GVALArray (class in gval.accessors.gval_array) GVALDataFrame (class in gval.accessors.gval_dataframe) GVALDataset (class in gval.accessors.gval_dataset) GVALXarray (class in gval.accessors.gval_xarray)

H

homogenize() (gval.accessors.gval_xarray.GVALXarray method)

I

idx (gval.utils.schemas.Sample_identifiers attribute) (gval.utils.schemas.Subsample_identifiers attribute)

M

matthews_correlation_coefficient() (in module gval.statistics.categorical_stat_funcs) mean_absolute_error() (in module gval.statistics.continuous_stat_funcs) mean_absolute_percentage_error() (in module gval.statistics.continuous_stat_funcs) mean_normalized_mean_absolute_error() (in module gval.statistics.continuous_stat_funcs) mean_normalized_root_mean_squared_error() (in module gval.statistics.continuous_stat_funcs) mean_percentage_error() (in module gval.statistics.continuous_stat_funcs) mean_signed_error() (in module gval.statistics.continuous_stat_funcs) mean_squared_error() (in module gval.statistics.continuous_stat_funcs) metrics (gval.utils.schemas.Prob_metrics_df attribute) Metrics_df (class in gval.utils.schemas) Metrics_df.Config (class in gval.utils.schemas) module gval.accessors.gval_array gval.accessors.gval_dataframe gval.accessors.gval_dataset gval.accessors.gval_xarray gval.catalogs.catalogs gval.comparison.compute_comparison gval.comparison.pairing_functions gval.statistics.categorical_stat_funcs gval.statistics.categorical_statistics gval.statistics.continuous_stat_funcs gval.statistics.continuous_statistics gval.subsampling.subsampling gval.utils.exceptions gval.utils.loading_datasets gval.utils.schemas

N

name (gval.utils.schemas.AttributeTrackingDf.Config attribute) (gval.utils.schemas.columns_method.Config attribute) (gval.utils.schemas.Conditions_df.Config attribute) (gval.utils.schemas.Crosstab_df.Config attribute) (gval.utils.schemas.Metrics_df.Config attribute) (gval.utils.schemas.Pivoted_crosstab_df.Config attribute) (gval.utils.schemas.Prob_metrics_df.Config attribute) (gval.utils.schemas.Sample_identifiers.Config attribute) (gval.utils.schemas.Subsample_identifiers.Config attribute) (gval.utils.schemas.SubsamplingDf.Config attribute) (gval.utils.schemas.Xrspatial_crosstab_df.Config attribute)

negative_likelihood_ratio() (in module gval.statistics.categorical_stat_funcs) negative_predictive_value() (in module gval.statistics.categorical_stat_funcs)

O

ordered (gval.utils.schemas.Conditions_df.Config attribute)

overall_bias() (in module gval.statistics.categorical_stat_funcs)

P

PairingDict (class in gval.comparison.pairing_functions) Pivoted_crosstab_df (class in gval.utils.schemas) Pivoted_crosstab_df.Config (class in gval.utils.schemas) positive_likelihood_ratio() (in module gval.statistics.categorical_stat_funcs) positive_predictive_value() (in module gval.statistics.categorical_stat_funcs) prevalence() (in module gval.statistics.categorical_stat_funcs)

prevalence_threshold() (in module gval.statistics.categorical_stat_funcs) Prob_metrics_df (class in gval.utils.schemas) Prob_metrics_df.Config (class in gval.utils.schemas) probabilistic_compare() (gval.accessors.gval_xarray.GVALXarray method) process_agreement_map() (gval.comparison.compute_comparison.ComparisonProcessing method) process_statistics() (gval.statistics.categorical_statistics.CategoricalStatistics method) (gval.statistics.continuous_statistics.ContinuousStatistics method)

R

range_normalized_mean_absolute_error() (in module gval.statistics.continuous_stat_funcs) range_normalized_root_mean_squared_error() (in module gval.statistics.continuous_stat_funcs) rasterize_data() (gval.accessors.gval_dataframe.GVALDataFrame method) RasterMisalignment RastersDontIntersect register_function() (gval.comparison.compute_comparison.ComparisonProcessing method) (gval.statistics.categorical_statistics.CategoricalStatistics method) (gval.statistics.continuous_statistics.ContinuousStatistics method)

register_function_class() (gval.comparison.compute_comparison.ComparisonProcessing method) (gval.statistics.categorical_statistics.CategoricalStatistics method) (gval.statistics.continuous_statistics.ContinuousStatistics method) registered_functions (gval.comparison.compute_comparison.ComparisonProcessing attribute) (gval.statistics.categorical_statistics.CategoricalStatistics attribute) (gval.statistics.continuous_statistics.ContinuousStatistics attribute) replacement_value (gval.comparison.pairing_functions.PairingDict attribute) root_mean_squared_error() (in module gval.statistics.continuous_stat_funcs) row_idx (gval.utils.schemas.Pivoted_crosstab_df attribute)

S

Sample_identifiers (class in gval.utils.schemas) Sample_identifiers.Config (class in gval.utils.schemas) stac_to_df() (in module gval.utils.loading_datasets) strict (gval.utils.schemas.AttributeTrackingDf.Config attribute) (gval.utils.schemas.Crosstab_df.Config attribute) (gval.utils.schemas.Metrics_df.Config attribute) (gval.utils.schemas.Pivoted_crosstab_df.Config attribute) (gval.utils.schemas.Prob_metrics_df.Config attribute) (gval.utils.schemas.Sample_identifiers.Config attribute) (gval.utils.schemas.Subsample_identifiers.Config attribute) (gval.utils.schemas.SubsamplingDf.Config attribute) (gval.utils.schemas.Xrspatial_crosstab_df.Config attribute)

subsample (gval.utils.schemas.Subsample_identifiers attribute) subsample() (in module gval.subsampling.subsampling) subsample_id (gval.utils.schemas.SubsamplingDf attribute) Subsample_identifiers (class in gval.utils.schemas) Subsample_identifiers.Config (class in gval.utils.schemas) subsample_type (gval.utils.schemas.SubsamplingDf attribute) SubsamplingDf (class in gval.utils.schemas) SubsamplingDf.Config (class in gval.utils.schemas) symmetric_mean_absolute_percentage_error() (in module gval.statistics.continuous_stat_funcs)

T

tn (gval.utils.schemas.Conditions_df attribute) tp (gval.utils.schemas.Conditions_df attribute)

true_negative_rate() (in module gval.statistics.categorical_stat_funcs) true_positive_rate() (in module gval.statistics.categorical_stat_funcs)

V

validate_column_suffixes() (gval.utils.schemas.AttributeTrackingDf class method)

vectorize_data() (gval.accessors.gval_xarray.GVALXarray method)

W

weights (gval.utils.schemas.SubsamplingDf attribute)

X

Xrspatial_crosstab_df (class in gval.utils.schemas)

Xrspatial_crosstab_df.Config (class in gval.utils.schemas)

Z

zone (gval.utils.schemas.Xrspatial_crosstab_df attribute)