Module: tf.contrib.eager.metrics
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Metrics namespace.
Classes
class Accuracy
: Calculates how often predictions
matches labels
.
class BinaryAccuracy
: Calculates how often predictions
matches labels
.
class CategoricalAccuracy
: Calculates how often predictions
matches labels
.
class Mean
: Computes the (weighted) mean of the given values.
class Metric
: A metric holds state for aggregating statistics over an evaluation run.
class SparseAccuracy
: Calculates how often predictions
matches labels
.
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Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]