pyreal.transformers.LatLongToPlace#

class pyreal.transformers.LatLongToPlace(level=0, latitude_column='latitude', longitude_column='longitude', result_column='place', **kwargs)[source]#

Converts latitude and longitude columns to neighborhood, city, or state/country names.

__init__(level=0, latitude_column='latitude', longitude_column='longitude', result_column='place', **kwargs)[source]#

Initialize the decoder.

Parameters:

  • level (int) – Level of place to return, per Geoname’s admin levels. 0 will generally be neighborhood, 1 will generally be city, and 2 will be state or country.

  • latitude_column (string) – Name of the column containing latitude.

  • longitude_column (string) – Name of the column containing longitude.

  • result_column (string) – Name of column to store the resulting locations in

Methods

__init__([level, latitude_column, ...])

Initialize the decoder.

data_transform(x)

Transforms data x to a new feature space.

fit(x, **params)

Fit this transformer to data

fit_transform(x, **fit_params)

Fits this transformer to data and then transforms the same data

inverse_data_transform(x_new)

Wrapper for inverse_data_transform.

inverse_transform(x_new)

Transforms data x_new from new feature space back into the original feature space.

inverse_transform_explanation(explanation)

Transforms the explanation from the second feature space handled by this transformer to the first.

inverse_transform_explanation_additive_feature_contribution(...)

Inverse transforms additive feature contribution explanations

inverse_transform_explanation_additive_feature_importance(...)

Inverse transforms additive feature importance explanations

inverse_transform_explanation_decision_tree(...)

Inverse transforms decision-tree explanations

inverse_transform_explanation_example(...)

Inverse transforms example-based explanations

inverse_transform_explanation_feature_based(...)

Inverse transforms feature-based explanations

inverse_transform_explanation_feature_contribution(...)

Inverse transforms feature contribution explanations

inverse_transform_explanation_feature_importance(...)

Inverse transforms feature importance explanations

inverse_transform_explanation_similar_example(...)

Inverse transforms similar-example-based explanations

set_flags([model, interpret, algorithm])

transform(x)

Wrapper for data_transform.

transform_explanation(explanation)

Transforms the explanation from the first feature space handled by this transformer to the second.

transform_explanation_additive_feature_contribution(...)

Transforms additive feature contribution explanations

transform_explanation_additive_feature_importance(...)

Transforms additive feature importance explanations

transform_explanation_decision_tree(explanation)

Inverse transforms feature-based explanations

transform_explanation_example(explanation)

Transforms example-based explanations

transform_explanation_feature_based(explanation)

Transforms feature-based explanations

transform_explanation_feature_contribution(...)

Transforms feature contribution explanations

transform_explanation_feature_importance(...)

Transforms feature importance explanations

transform_explanation_similar_example(...)

Transforms example-based explanations