# Understanding the Programming Challenges of Coursera Machine Learning: warning:opengl_render:data values greater than float capacity

Asked 5 months ago, Updated 5 months ago, 11 views

I started doing the course machine learning course at Coursera, but when I run the optional task (ex1_multi) of the programming task of week2, warning occurs as follows.
What is the cause?Thank you for your cooperation.

``````Loading data...
First 10 examples from the dataset:
x = [21043], y = 399900
x = [16003], y = 329900
x = [24003], y = 369000
x = [14162], y = 232000
x = [30004], y = 539900
x = [19854], y = 299900
x = [15343], y = 314900
x = [14273], y = 198999
x = [13803], y = 212000
x = [14943], y = 242500
Program pause.Press enter to continue.
Normalizing Features...
NaN
NaN
NaN

Predicted price of a 1650 sq-ft, 3br house (using gradient descent):
\$0.000000
Program pause.Press enter to continue.
warning:opengl_render:data values greater than float capacity.(1) Scaleda
ta, or (2) Use gnuplot
warning —Called from
ex1_multi at line 117 column1
Solving with normal equations...
Theta computed from the normal equations:
89597.909541
139.210674
-8738.019112

Predicted price of a 1650 sq-ft, 3br house (using normal equations):
\$0.000000
``````

warning:opengl_render:data values greater than float capacity.(1)Scale data, or (2)Usegnuplot

machine-learning octave

2022-09-30 14:03

Theta calculation results are

``````Theta computed from gradient descent:
NaN
NaN
NaN
``````

However, NaN is an abnormal value that appears when 0 is divided by 0, so the calculation has failed.Probably because the plot data also contains abnormal values, warning is occurring.

2022-09-30 14:03

## If you have any answers or tips

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