Added pima-getter

data/pima/get_pima.m

@@ -0,0 +1,22 @@
+function [D,y] = get_pima(varargin)
+% Script to download pima diabetes dataset from UCI machine learning repository
+
+% Parse
+p = inputParser;
+addOptional(p, 'save', false);
+parse(p, varargin{:});
+
+%% Start downloading files
+
+fprintf('Starting downloads..')
+websave('pima-indians-diabetes.data', ...
+ 'https://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data');
+websave('pima-indians-diabetes.names', ...
+ 'https://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.names');
+
+fprintf('Done \n')
+
+%% Call parse script
+[D,y] = parse_pima_gen('save', p.Results.save);
+
+end

data/pima/parse_pima_gen.m

@@ -0,0 +1,53 @@
+function [D,y] = parse_pima_gen(varargin)
+%% Import data from text file.
+% Script for importing data from the following text file:
+%
+% ./pima-indians-diabetes.data
+%
+% To extend the code to different selected data or a different text file,
+% generate a function instead of a script.
+
+% Auto-generated by MATLAB on 2017/05/13 23:19:09
+
+% Parse
+p = inputParser;
+addOptional(p, 'save', false);
+parse(p, varargin{:});
+
+%% Initialize variables.
+filename = './pima-indians-diabetes.data';
+delimiter = ',';
+
+%% Format for each line of text:
+
+% For more information, see the TEXTSCAN documentation.
+formatSpec = '%f%f%f%f%f%f%f%f%f%[^\n\r]';
+
+%% Open the text file.
+fileID = fopen(filename,'r');
+
+%% Read columns of data according to the format.
+% This call is based on the structure of the file used to generate this code. If
+% an error occurs for a different file, try regenerating the code from the
+% Import Tool.
+dataArray = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'ReturnOnError', false);
+
+%% Close the text file.
+fclose(fileID);
+
+%% Post processing for unimportable data.
+% No unimportable data rules were applied during the import, so no post
+% processing code is included. To generate code which works for unimportable
+% data, select unimportable cells in a file and regenerate the script.
+
+%% Allocate imported array to column variable names
+D = cell2mat(dataArray(:,1:end-2));
+y = cell2mat(dataArray(:,end-1));
+
+y(y==0) = -1;
+
+if p.Results.save
+ save('pima', 'D','y');
+end 
+
+end