Increase default kernel ridge value to ensure positive-definite kerne… #7
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I was looking at the univariate regression problems implemented in the package, and I realized that the kernel_ridge default value is not sufficiently high to ensure that the kernel matrix is positive-definite. So all the univariate regression problems in the leaderboard (0-89) have nans in the target variables.
Increasing it a default value of 1e-5 solves the issue.