Clean up whitespace
This commit is contained in:
parent
38064db8b3
commit
613220bb3e
1 changed files with 8 additions and 12 deletions
|
@ -1,5 +1,5 @@
|
|||
function [X_norm, mu, sigma] = featureNormalize(X)
|
||||
%FEATURENORMALIZE Normalizes the features in X
|
||||
%FEATURENORMALIZE Normalizes the features in X
|
||||
% FEATURENORMALIZE(X) returns a normalized version of X where
|
||||
% the mean value of each feature is 0 and the standard deviation
|
||||
% is 1. This is often a good preprocessing step to do when
|
||||
|
@ -13,22 +13,18 @@ sigma = zeros(1, size(X, 2));
|
|||
% ====================== YOUR CODE HERE ======================
|
||||
% Instructions: First, for each feature dimension, compute the mean
|
||||
% of the feature and subtract it from the dataset,
|
||||
% storing the mean value in mu. Next, compute the
|
||||
% storing the mean value in mu. Next, compute the
|
||||
% standard deviation of each feature and divide
|
||||
% each feature by it's standard deviation, storing
|
||||
% the standard deviation in sigma.
|
||||
% the standard deviation in sigma.
|
||||
%
|
||||
% Note that X is a matrix where each column is a
|
||||
% feature and each row is an example. You need
|
||||
% to perform the normalization separately for
|
||||
% each feature.
|
||||
% Note that X is a matrix where each column is a
|
||||
% feature and each row is an example. You need
|
||||
% to perform the normalization separately for
|
||||
% each feature.
|
||||
%
|
||||
% Hint: You might find the 'mean' and 'std' functions useful.
|
||||
%
|
||||
|
||||
|
||||
|
||||
|
||||
%
|
||||
|
||||
|
||||
|
||||
|
|
Reference in a new issue