writers

geocoding.writers.write_clf_space(fpath, clf_name, best_params=None)

Writes clf_name classifier configuration in fpath. If best_params is given then writes the best performing configuration of clf_name.

Parameters

• fpath (str) – Path to write

• clf_name (str) – Name of classifier to consider

• best_params (dict, optional) – Has hyperparametrs as keys and the corresponding values as values

Returns

None

geocoding.writers.write_feats_space(fpath)

Writes the features configuration in fpath.

Parameters

fpath (str) – Path to write

Returns

None

geocoding.writers.write_predictions(fpath, df, preds)

Creates a csv file to present the predictions (in (predicted label, score) pairs).

Parameters

• fpath (str) – File path to write

• df (pandas.DataFrame) – Contains the data points to which the predictions refer to

• preds (list) – Contains (predicted label, score) pairs

Returns

None

geocoding.writers.write_results(results_path, results, step)

Writes full and averaged experiment results.

Parameters

• results_path (str) – Path to write

• results (dict) – Contains metrics as keys and the corresponding values values

• step (str) – Defines the experiment step

Returns

None

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