Scoring Functions
GibberishNameScore
Score a given name, username, or email handle for its likelihood of being gibberish. A negative (low) score indicates low likelihood of gibberish. A positive (high) score indicates high likelihood of gibberish. Zero is a good threshold for most use cases.
Syntax:
GibberishNameScore(text string)
Examples:
GibberishNameScore("Heather Lowenfish") = -1.6666666666666667
GibberishNameScore("cris.johnson1992") = -1.0857142857142856
GibberishNameScore("Uisdfhkj Jasdfyb") = 0.7642857142857142
GibberishNameScore("jsdfhsdfjkhsdf") = 1.6384615384615384
ModelPredict
Execute a Model on the given inputs and return a struct of output variable names to numeric values. The input and output schema are enforced at compile-time.
Syntax:
ModelPredict<model_name>(inputs: struct) -> struct
Examples:
ModelPredict<regressor>({x: 1.2, y: -7.5}) = {z: 2.8}
risk_score := ModelPredict<cash_out>({
amount,
dollars_in_out_1h,
dollars_out_by_email,
emails_per_bank,
emails_per_device
}).probability_fraud