CREATE CELEBA SPLIT1#

Functions#

datasets.bias_celeba_utils.create_celeba_split1.assign_labels(attributes_df, partition_df, chunk_attributes, max_per_task, bias_attribute='Male', max_elements_per_group=500)[source]#

datasets.bias_celeba_utils.create_celeba_split1.calculate_statistics(final_df, chunk_attributes, bias_attribute='Male')[source]#

datasets.bias_celeba_utils.create_celeba_split1.load_dataframes(root_path)[source]#

datasets.bias_celeba_utils.create_celeba_split1.process_split(root_path)[source]#

datasets.bias_celeba_utils.create_celeba_split1.save_sample_images(final_df, root_path)[source]#

datasets.bias_celeba_utils.create_celeba_split1.assign_labels(attributes_df, partition_df, chunk_attributes, max_per_task, bias_attribute='Male', max_elements_per_group=500)[source]#

datasets.bias_celeba_utils.create_celeba_split1.calculate_statistics(final_df, chunk_attributes, bias_attribute='Male')[source]#

datasets.bias_celeba_utils.create_celeba_split1.load_dataframes(root_path)[source]#

datasets.bias_celeba_utils.create_celeba_split1.process_split(root_path)[source]#

datasets.bias_celeba_utils.create_celeba_split1.save_sample_images(final_df, root_path)[source]#