justincosentino

justincosentino

def selective_loss(
    targets: torch.Tensor,
    f_out: torch.Tensor,
    g_out: torch.Tensor,
    target_coverage: float,
    lmbda: int = 32,
) -> torch.Tensor:
    """
    Calculates the selective loss for the given slice.

justincosentino

justincosentino

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• I am justincosentino on github.
• I am cosentino (https://keybase.io/cosentino) on keybase.
• I have a public key ASAN3Uk-_dcbfvYb4vhm4nx_meiDopoitsFkKsJlIQGC0wo

To claim this, I am signing this object:

justincosentino

def bootstrapDecipher(decipher, encoded_string, encoded_numeric, transition_matrix):
    decoded_numeric = [decipher[s] for s in encoded_numeric]
    decoded_string  = numeric_to_text(decoded_numeric)
    current_plausibility = plausibility(transition_matrix, decoded_string)

    print ("Bootstrapping ", end="")
    while current_plausibility == 0:
        random.shuffle(decipher)
        decoded_numeric = [decipher[s] for s in encoded_numeric]
        decoded_string  = numeric_to_text(decoded_numeric)

justincosentino

var gradeEquiv = {
	'A+': 4,
	'A' : 4,
	'A-': 3.67,
	'B+': 3.33,
	'B' : 3,
	'B-': 2.67,
	'C+': 2.33,
	'C' : 2,
	'C-': 1.67,