Jupyter notebook is giving overflow encounter warning
I have trained linear regression model using numpy from scratch. When I am training it with low learning rate i.e. 0.01 it works fine. But when I am training it with high learning rate i.e. 0.1 then it gives me following warning.
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:3: RuntimeWarning: overflow encountered in square
This is separate from the ipykernel package so we can avoid doing imports until
C:UserscomAnaconda3libsite-packagesnumpycore_methods.py:36: RuntimeWarning: overflow encountered in reduce
return umr_sum(a, axis, dtype, out, keepdims, initial)
C:UserscomAnaconda3libsite-packagesnumpycorefromnumeric.py:83: RuntimeWarning: overflow encountered in reduce
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:14: RuntimeWarning: invalid value encountered in double_scalars
I got Theta as NaN after training at learning rate 0.1 and matrix([[-3.03557055],
[ 1.10661619]]) when I am training at learning rate 0.01
And How to choose optimum learning rate to avoid these kind of warnings?
python jupyter-notebook
asked Jan 17 at 9:56
user9482910user9482910
11
add a comment |
I have trained linear regression model using numpy from scratch. When I am training it with low learning rate i.e. 0.01 it works fine. But when I am training it with high learning rate i.e. 0.1 then it gives me following warning.
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:3: RuntimeWarning: overflow encountered in square
This is separate from the ipykernel package so we can avoid doing imports until
C:UserscomAnaconda3libsite-packagesnumpycore_methods.py:36: RuntimeWarning: overflow encountered in reduce
return umr_sum(a, axis, dtype, out, keepdims, initial)
C:UserscomAnaconda3libsite-packagesnumpycorefromnumeric.py:83: RuntimeWarning: overflow encountered in reduce
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:14: RuntimeWarning: invalid value encountered in double_scalars
I got Theta as NaN after training at learning rate 0.1 and matrix([[-3.03557055],
[ 1.10661619]]) when I am training at learning rate 0.01
And How to choose optimum learning rate to avoid these kind of warnings?
python jupyter-notebook
asked Jan 17 at 9:56
user9482910user9482910
11
add a comment |
I have trained linear regression model using numpy from scratch. When I am training it with low learning rate i.e. 0.01 it works fine. But when I am training it with high learning rate i.e. 0.1 then it gives me following warning.
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:3: RuntimeWarning: overflow encountered in square
This is separate from the ipykernel package so we can avoid doing imports until
C:UserscomAnaconda3libsite-packagesnumpycore_methods.py:36: RuntimeWarning: overflow encountered in reduce
return umr_sum(a, axis, dtype, out, keepdims, initial)
C:UserscomAnaconda3libsite-packagesnumpycorefromnumeric.py:83: RuntimeWarning: overflow encountered in reduce
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:14: RuntimeWarning: invalid value encountered in double_scalars
I got Theta as NaN after training at learning rate 0.1 and matrix([[-3.03557055],
[ 1.10661619]]) when I am training at learning rate 0.01
And How to choose optimum learning rate to avoid these kind of warnings?
python jupyter-notebook
asked Jan 17 at 9:56
user9482910user9482910
11
I have trained linear regression model using numpy from scratch. When I am training it with low learning rate i.e. 0.01 it works fine. But when I am training it with high learning rate i.e. 0.1 then it gives me following warning.
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:3: RuntimeWarning: overflow encountered in square
This is separate from the ipykernel package so we can avoid doing imports until
C:UserscomAnaconda3libsite-packagesnumpycore_methods.py:36: RuntimeWarning: overflow encountered in reduce
return umr_sum(a, axis, dtype, out, keepdims, initial)
C:UserscomAnaconda3libsite-packagesnumpycorefromnumeric.py:83: RuntimeWarning: overflow encountered in reduce
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
C:UserscomAnaconda3libsite-packagesipykernel_launcher.py:14: RuntimeWarning: invalid value encountered in double_scalars
I got Theta as NaN after training at learning rate 0.1 and matrix([[-3.03557055],
[ 1.10661619]]) when I am training at learning rate 0.01
And How to choose optimum learning rate to avoid these kind of warnings?
python jupyter-notebook
python jupyter-notebook
asked Jan 17 at 9:56
user9482910user9482910
11
asked Jan 17 at 9:56
user9482910user9482910
11
asked Jan 17 at 9:56
user9482910user9482910
11
asked Jan 17 at 9:56
user9482910user9482910
11
asked Jan 17 at 9:56
user9482910user9482910
11
11
add a comment |
add a comment |
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