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plot.risk <- function(data, est) { | |
# Plot estimated biases of the 4 optimization routines performed. | |
# | |
# Args: | |
# data: List of x, y, A, theta in particular form | |
# est: A list of matrix estimates, one for each set of optimization | |
# methods done on the data. | |
# | |
# Returns: | |
# A log-log plot with 4 curves, showing excess risk over training size. |
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### Keybase proof | |
I hereby claim: | |
* I am dustinvtran on github. | |
* I am dvt (https://keybase.io/dvt) on keybase. | |
* I have a public key whose fingerprint is 91B5 FBA6 2E1D 2938 4866 BBB8 3571 FE5A 0F13 2DFE | |
To claim this, I am signing this object: |
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