dpkg

dpkg is a package that collects functions frequently used in healthcare analysis.

install

pip install dpkg

apk

Computes the average precision at k. This function computes the average prescision at k between two lists of items.

Parameters

• actual : list

A list of elements that are to be predicted (order doesn't matter)

• predicted : list

A list of predicted elements (order does matter)

• k : int, optional

The maximum number of predicted elements

Returns

• score : double The average precision at k over the input lists

Simple example

from dpkg.apk import ApkScore

ApkScore(actual, predicted, k)

mapk

Mean Average Precision (mAP) is commonly used to analyze the performance of object detection and segmentation systems.

Parameters

• apk_list : list

A list of apk scores

Returns

• score : Mean average precision score of input apk lists

Simple example

from dpkg.mapk import MapkScore

MapkScore(apk_list)

dataset

Dataset is a package that loads data sets related to food, bio, and healthcare.

Dataset

• khane : Korean Health and Nutrition Survey dataset(2016)

• main : main dataset including meta information
• ffq : food frequency questionnaires dataset including meta information
• 24rc : dietary assessment by 24-hour dataset including meta information
• oe : oral examination dataset including meta information

Parameters

• khane dataset

data type : 'main', 'ffq', '24rc', 'oe'

Simple example

from dpkg.dataset import Khane

main_ds, main_meta = Khane().load_data('main')