C# Class FannWrapperFloat.fannfloat

Afficher le fichier Open project: joelself/FannCSharp

Méthodes publiques

Méthode Description
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

Method Details

fclose() public static méthode

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

fopen() public static méthode

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

test_data_parallel() public static méthode

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
Résultat float

test_data_parallel() public static méthode

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
Résultat float

train_epoch_batch_parallel() public static méthode

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
Résultat float

train_epoch_batch_parallel() public static méthode

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
Résultat float

train_epoch_incremental_mod() public static méthode

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
Résultat float

train_epoch_incremental_mod() public static méthode

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
Résultat float

train_epoch_irpropm_parallel() public static méthode

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
Résultat float

train_epoch_irpropm_parallel() public static méthode

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
Résultat float

train_epoch_quickprop_parallel() public static méthode

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
Résultat float

train_epoch_quickprop_parallel() public static méthode

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
Résultat float

train_epoch_sarprop_parallel() public static méthode

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
Résultat float

train_epoch_sarprop_parallel() public static méthode

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
Résultat float