probabilistic classifier
metaclassifier
adaptee
multiclassifier
parameter
language model
metaclass
zero-shot learning
singleton
quantile
classifier
Euclidean algorithm
composite reuse principle
assort
estimation theory
epoch
adaptive learning
perplexity
Kalman filter
random number generator
Fisher-Yates shuffle
metalearning
template method
Platt scaling
Q-learning
Las Vegas algorithm
probability distribution
teachable agent
decision stream
predictor variable
pseudorandom number generator
predictive
diehard test
grade point average
riffling
Monte Carlo method
rejection sampling
autosampler
grade on a curve
jackknife
classificator
Punnett square
generic class
sample path
template
random number
support vector machine
curve
massifier
ziggurat algorithm
pretrain
instantiate
autosample
prototype-based
concrete class
submartingale
winsorize
coefficient of determination
gskew
martingale
sparse table
constructor
pseudorandom
Box-Muller transform
stopping time
federated learning
member variable
model
metapredictor
classific
moving average
L-estimator
bootstrap aggregating
probabilistically
phantom type
type erasure
multiplicand
override
autoclassifier
forecaster
statically-typed
universal Turing machine
class
fuzz
Poisson distribution
1-H
member function
factory class
abstraction
trait
exponential distribution
Gowers norm
busy beaver
abstract
stochastics
dynamically-typed
adaptive intelligence

English words for 'a classifier that is able to predict, given a sample input, a probability distribution over a set of classes, rather than only outputting the most likely class that the sample should belong to.'

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