Classification Metrics API Reference

Functions

ChemometricsTools.ColdToHot — Method.

ColdToHot(Y, Schema::ClassificationLabel)

Turns a cold encoded Y vector into a one hot encoded array.

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ChemometricsTools.HighestVote — Method.

HighestVote(yhat)

Returns the column index for each row that has the highest value in one hot encoded yhat. Returns a one cold encoded vector.

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ChemometricsTools.HighestVoteOneHot — Method.

HighestVoteOneHot(yhat)

Turns the highest column-wise value to a 1 and the others to zeros per row in a one hot encoded yhat. Returns a one cold encoded vector.

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ChemometricsTools.HotToCold — Method.

HotToCold(Y, Schema::ClassificationLabel)

Turns a one hot encoded Y array into a cold encoded vector.

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ChemometricsTools.IsColdEncoded — Method.

IsColdEncoded(Y)

Returns a boolean true if the array Y is cold encoded, and false if not.

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ChemometricsTools.LabelEncoding — Method.

" LabelEncoding(HotOrCold)

Determines if an Array, Y, is one hot encoded, or cold encoded by it's dimensions. Returns a ClassificationLabel object/schema to convert between the formats.

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ChemometricsTools.MulticlassStats — Method.

MulticlassStats(Y, GT, schema; Microaverage = true)

Calculates many essential classification statistics based on predicted values Y, and ground truth values GT, using the encoding schema. Returns a dictionary of many statistics...

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ChemometricsTools.MulticlassThreshold — Method.

MulticlassThreshold(yhat; level = 0.5)

Effectively does the same thing as Threshold() but per-row across columns.

Warning this function can allow for no class assignments. HighestVote is preferred

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ChemometricsTools.Threshold — Method.

Threshold(yhat; level = 0.5)

For a binary vector yhat this decides if the label is a 0 or a 1 based on it's value relative to a threshold level.

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