LostTech.TensorFlow : API Documentation

Type losses

Namespace tensorflow.python.keras.losses

Methods

Properties

Public static methods

Tensor huber_loss(object y_true, object y_pred, double delta)

object huber_loss_dyn(object y_true, object y_pred, ImplicitContainer<T> delta)

bool is_categorical_crossentropy(IDictionary<object, object> loss)

bool is_categorical_crossentropy(PythonFunctionContainer loss)

bool is_categorical_crossentropy(object loss)

object is_categorical_crossentropy_dyn(object loss)

Public properties

PythonFunctionContainer BinaryCrossentropy_fn get;

PythonFunctionContainer CategoricalCrossentropy_fn get;

PythonFunctionContainer CategoricalHinge_fn get;

PythonFunctionContainer CosineSimilarity_fn get;

PythonFunctionContainer Hinge_fn get;

PythonFunctionContainer Huber_fn get;

PythonFunctionContainer huber_loss_fn get;

PythonFunctionContainer is_categorical_crossentropy_fn get;

object kld get; set;

object kld_dyn get; set;

object KLD_dyn get; set;

PythonFunctionContainer KLDivergence_fn get;

IDictionary<object, string> LABEL_DTYPES_FOR_LOSSES get; set;

object LABEL_DTYPES_FOR_LOSSES_dyn get; set;

PythonFunctionContainer LogCosh_fn get;

PythonFunctionContainer LossFunctionWrapper_fn get;

object mae get; set;

object mae_dyn get; set;

object MAE_dyn get; set;

object mape get; set;

object mape_dyn get; set;

object MAPE_dyn get; set;

PythonFunctionContainer MeanAbsoluteError_fn get;

PythonFunctionContainer MeanAbsolutePercentageError_fn get;

PythonFunctionContainer MeanSquaredError_fn get;

PythonFunctionContainer MeanSquaredLogarithmicError_fn get;

object mse get; set;

object mse_dyn get; set;

object MSE_dyn get; set;

object msle get; set;

object msle_dyn get; set;

object MSLE_dyn get; set;

PythonFunctionContainer Poisson_fn get;

PythonFunctionContainer SparseCategoricalCrossentropy_fn get;

PythonFunctionContainer SquaredHinge_fn get;