C# Класс FannWrapperFloat.fannfloat

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Открытые методы

Метод	Описание
fclose ( SWIGTYPE_p_FILE stream ) : int
fopen ( string filename, string mode ) : SWIGTYPE_p_FILE
test_data_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
test_data_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
train_epoch_batch_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
train_epoch_batch_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
train_epoch_incremental_mod ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data ) : float
train_epoch_incremental_mod ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, floatVectorVector predicted_outputs ) : float
train_epoch_irpropm_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
train_epoch_irpropm_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
train_epoch_quickprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
train_epoch_quickprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
train_epoch_sarprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
train_epoch_sarprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float

Описание методов

fclose() публичный статический Метод

public static fclose ( SWIGTYPE_p_FILE stream ) : int
stream	FANNCSharp.SWIGTYPE_p_FILE
Результат	int

fopen() публичный статический Метод

public static fopen ( string filename, string mode ) : SWIGTYPE_p_FILE
filename	string
mode	string
Результат	FANNCSharp.SWIGTYPE_p_FILE

test_data_parallel() публичный статический Метод

public static test_data_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
Результат	float

test_data_parallel() публичный статический Метод

public static test_data_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
predicted_outputs	floatVectorVector
Результат	float

train_epoch_batch_parallel() публичный статический Метод

public static train_epoch_batch_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
Результат	float

train_epoch_batch_parallel() публичный статический Метод

public static train_epoch_batch_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
predicted_outputs	floatVectorVector
Результат	float

train_epoch_incremental_mod() публичный статический Метод

public static train_epoch_incremental_mod ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
Результат	float

train_epoch_incremental_mod() публичный статический Метод

public static train_epoch_incremental_mod ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, floatVectorVector predicted_outputs ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
predicted_outputs	floatVectorVector
Результат	float

train_epoch_irpropm_parallel() публичный статический Метод

public static train_epoch_irpropm_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
Результат	float

train_epoch_irpropm_parallel() публичный статический Метод

public static train_epoch_irpropm_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
predicted_outputs	floatVectorVector
Результат	float

train_epoch_quickprop_parallel() публичный статический Метод

public static train_epoch_quickprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
Результат	float

train_epoch_quickprop_parallel() публичный статический Метод

public static train_epoch_quickprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
predicted_outputs	floatVectorVector
Результат	float

train_epoch_sarprop_parallel() публичный статический Метод

public static train_epoch_sarprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
Результат	float

train_epoch_sarprop_parallel() публичный статический Метод

public static train_epoch_sarprop_parallel ( SWIGTYPE_p_fann ann, SWIGTYPE_p_fann_train_data data, uint threadnumb, floatVectorVector predicted_outputs ) : float
ann	FANNCSharp.SWIGTYPE_p_fann
data	FANNCSharp.SWIGTYPE_p_fann_train_data
threadnumb	uint
predicted_outputs	floatVectorVector
Результат	float