self.m_ is approximately equal to zero.

[energylulu]

Hi, when I trained a model using the codes:

"clf = RVR(kernel = 'rbf',n_iter=300,alpha=1e-3,beta=1.e-3,threshold_alpha=1e3)
clf.fit(input_train, output_train)
output_2_rvr = clf.predict(input_test)"

input_train is a 40003 matrix, output_train is a 40001 matrix.

error:
"
D:\ProgramData\Anaconda3\lib\site-packages\skrvm\rvm.py:153: RuntimeWarning: divide by zero encountered in true_divide
self.alpha_ = self.gamma/(self.m_ ** 2)
D:\ProgramData\Anaconda3\lib\site-packages\skrvm\rvm.py:152: RuntimeWarning: invalid value encountered in multiply
self.gamma = 1 - self.alpha_*np.diag(self.sigma_)
D:\ProgramData\Anaconda3\lib\site-packages\skrvm\rvm.py:153: RuntimeWarning: invalid value encountered in true_divide
self.alpha_ = self.gamma/(self.m_ ** 2)
D:\ProgramData\Anaconda3\lib\site-packages\skrvm\rvm.py:108: RuntimeWarning: invalid value encountered in less
keep_alpha = self.alpha_ < self.threshold_alpha
1
2
Traceback (most recent call last):
File "E:\python_work\pitch_system\src\relevance_vector_machine\rvr_train_test1.py", line 50, in
mse_rvr = mean_squared_error(output_2_rvr, output_test)
File "D:\ProgramData\Anaconda3\lib\site-packages\sklearn\metrics\regression.py", line 238, in mean_squared_error
y_true, y_pred, multioutput)
File "D:\ProgramData\Anaconda3\lib\site-packages\sklearn\metrics\regression.py", line 76, in _check_reg_targets
y_true = check_array(y_true, ensure_2d=False)
File "D:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 453, in check_array
_assert_all_finite(array)
File "D:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 44, in _assert_all_finite
" or a value too large for %r." % X.dtype)
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
"

How can I deal with it ? Thank you very much!

[energylulu]

input_train is a 4000 ,3 matrix, output_train is a 4000,1 matrix.