Operation of Machine Learning--octave (1)--day2

1.ps1 (' >> '); --No version displayed

2. Output:

A=pi;

Format Long

Format Short(4 -bit)

Disp (sprintf ('%0.2f ', a))

3. Input of the matrix:

A=[1 2;3 4;5 6]

A (+)--Take out the value of the second column in the first row

A (1,:)--Remove all values from the first row

A (:, 2)--Remove all values from the second column

A ([1 3],:)--Remove all elements from the first and third rows

A (:, 2) =[1:65:3231]--Change the elements of the second column

A=[A,[1;2;646]]--Add a column based on the original matrix

A (:)-- Place all elements of a in a column vector

V=[A,B] or v=[a B]-- connect a b matrix together (left or right)

V=[a; B]-- connect a B matrix together (up and down)

A=[1 2;

3 4;

5 6]

A=[1;2;6]--column vector

A=[1 2 6]--line vector

V=1:0.1:2--1 rows one column matrix

Ones (2,6)--Generates a 2*6 matrix of all 1

Zeros (3,7)--Generates a 3*7 matrix of all 0

Rand (3,9)--Generates a random matrix of 3*9 (each element is between 0-1 )

W=randn (3,9)--Generating a random Gaussian matrix of 3*9

hist (W)--Draw a histogram (in accordance with the Gaussian distribution)

Hist(w,50)-a histogramwith a number of blocks, followed by a parameter that determines how many bars

Eye (5)--Generates a 5*5 Unit matrix

Help Eye-View information about the eye

Size (a)--the command returns the number of rows and columns of a matrix

Size (a,1)--the command returns the number of rows of a matrix

Size (a,2)--the command returns the number of columns of a matrix

Length (a)--Returns The largest dimension of a matrix

PWD--View octave installation path

CD ' C:\User\Administrator\Desktop '--Move the installation path to the desktop

Who--displays All variables currently stored by Octave

Whos--Displays All variables currently stored by octave (more detailed)

Clear features--Clear variables

V=price (1:10)--Create a 10*1 column vector ( price for the file of the stored prices)

Save Hello.mat v--Save the variable v to the hello.mat file

Save Hello.txt V-ascii--Save the variable v to the hello.txt file

Operation of Machine Learning--octave (1)--day2