robustx.datasets package

Subpackages

• robustx.datasets.provided_datasets package
  • Submodules
  • robustx.datasets.provided_datasets.AdultDatasetLoader module
    • AdultDatasetLoader
      • AdultDatasetLoader.X
      • AdultDatasetLoader.get_default_preprocessed_features()
      • AdultDatasetLoader.load_data()
      • AdultDatasetLoader.y
  • robustx.datasets.provided_datasets.ExampleDatasetLoader module
    • ExampleDatasetLoader
      • ExampleDatasetLoader.load_data()
      • ExampleDatasetLoader.get_default_preprocessed_features()
      • ExampleDatasetLoader.get_preprocessed_features()
      • ExampleDatasetLoader.default_preprocess()
      • ExampleDatasetLoader.preprocess()
      • ExampleDatasetLoader.categorical
      • ExampleDatasetLoader.default_preprocess()
      • ExampleDatasetLoader.get_default_preprocessed_features()
      • ExampleDatasetLoader.get_preprocessed_features()
      • ExampleDatasetLoader.load_data()
      • ExampleDatasetLoader.numerical
      • ExampleDatasetLoader.preprocess()
  • robustx.datasets.provided_datasets.IonosphereDatasetLoader module
    • IonosphereDatasetLoader
      • IonosphereDatasetLoader.X
      • IonosphereDatasetLoader.get_default_preprocessed_features()
      • IonosphereDatasetLoader.load_data()
      • IonosphereDatasetLoader.y
  • robustx.datasets.provided_datasets.IrisDatasetLoader module
    • IrisDatasetLoader
      • IrisDatasetLoader.X
      • IrisDatasetLoader.get_default_preprocessed_features()
      • IrisDatasetLoader.load_data()
      • IrisDatasetLoader.y
  • robustx.datasets.provided_datasets.TitanicDatasetLoader module
    • TitanicDatasetLoader
      • TitanicDatasetLoader.X
      • TitanicDatasetLoader.get_default_preprocessed_features()
      • TitanicDatasetLoader.get_feature_names()
      • TitanicDatasetLoader.load_data()
      • TitanicDatasetLoader.y
  • Module contents

Submodules

robustx.datasets.DatasetLoader module

class robustx.datasets.DatasetLoader.DatasetLoader(seed=None)

Bases: ABC

An abstract class used to outline the minimal functionality of a dataset loader

…

Attributes / Properties

_data: pd.DataFrame

Stores the dataset as a DataFrame, only has value once load_data() called

X: pd.DataFrame

Stores the feature columns as a DataFrame, only has value once load_data() called

y: pd.DataFrame

Stores the target column as a DataFrame, only has value once load_data() called

---

get_negative_instances() → pd.DataFrame:

Filters all the negative instances in the dataset and returns them

get_random_positive_instance() → pd.Series:

Returns a random instance where the target variable is NOT the neg_value

-------

abstract property X: DataFrame

Returns only feature variables as DataFrame @return: pd.DataFrame

property data: DataFrame

Returns whole dataset as DataFrame @return: pd.DataFrame

get_negative_instances(neg_value, column_name='target')

Filters all the negative instances in the dataset and returns them @param neg_value: What target value counts as a “negative” instance @param column_name: Target column’s name @return: All instances with a negative target value

Return type:

DataFrame

get_random_positive_instance(neg_value, column_name='target')

Returns a random instance where the target variable is NOT the neg_value @param neg_value: What target value counts as a “negative” instance @param column_name: Target column’s name @return: Random instance in dataset with positive target value

Return type:

Series

abstract property y: Series

Returns only target variable as Series @return: pd.Series

robustx.datasets.ExampleDatasets module

robustx.datasets.ExampleDatasets.get_example_dataset(name, seed=None)

Returns a DatasetLoader class given the name of an example dataset

@param name: the name of the dataset you wish to load, the options are:

• iris

• ionosphere

• adult

• titanic

@return: DatasetLoader

Module contents