Class Metrics

A metric is a function that is used to judge the performance of your model. Metric functions are to be supplied in the metrics parameter when a model is compiled

Inheritance

System.Object

Keras

Base

Metrics

Implements

System.IDisposable

Inherited Members

Base.Parameters

Base.None

Base.Init()

Base.ToPython()

Base.InvokeStaticMethod(Object, String, Dictionary<String, Object>)

Base.InvokeMethod(String, Dictionary<String, Object>)

Base.Item[String]

Keras.Instance

Keras.keras

Keras.keras2onnx

Keras.tfjs

Keras.Dispose()

Keras.ToTuple(Array)

Keras.ToList(Array)

System.Object.Equals(System.Object)

System.Object.Equals(System.Object, System.Object)

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

System.Object.ReferenceEquals(System.Object, System.Object)

System.Object.ToString()

Namespace: Keras

Assembly: Keras.dll

Syntax

public class Metrics : Base, IDisposable

Methods

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BinaryAccuracy(NDarray, NDarray)

Declaration

public static NDarray BinaryAccuracy(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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CategoricalAccuracy(NDarray, NDarray)

Declaration

public static NDarray CategoricalAccuracy(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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Cosine(NDarray, NDarray)

Declaration

public static NDarray Cosine(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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MAE(NDarray, NDarray)

Declaration

public static NDarray MAE(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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MAPE(NDarray, NDarray)

Declaration

public static NDarray MAPE(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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MSE(NDarray, NDarray)

Declaration

public static NDarray MSE(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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MSLE(NDarray, NDarray)

Declaration

public static NDarray MSLE(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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SparseCategoricalAccuracy(NDarray, NDarray)

Declaration

public static NDarray SparseCategoricalAccuracy(NDarray y_true, NDarray y_pred)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred

Returns

Type	Description
Numpy.NDarray

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SparseTopKCategoricalAccuracy(NDarray, NDarray, Int32)

Declaration

public static NDarray SparseTopKCategoricalAccuracy(NDarray y_true, NDarray y_pred, int k = 5)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred
System.Int32	k

Returns

Type	Description
Numpy.NDarray

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TopKCategoricalAccuracy(NDarray, NDarray, Int32)

Declaration

public static NDarray TopKCategoricalAccuracy(NDarray y_true, NDarray y_pred, int k = 5)

Parameters

Type	Name	Description
Numpy.NDarray	y_true
Numpy.NDarray	y_pred
System.Int32	k

Returns

Type	Description
Numpy.NDarray

Implements

System.IDisposable