static IntPtr n_NormalizeMax_arrayD(IntPtr jnienv, IntPtr native__this, IntPtr native_p0)
{
global::Org.Neuroph.Util.Norm.MaxNormalizer __this = global::Java.Lang.Object.GetObject <global::Org.Neuroph.Util.Norm.MaxNormalizer> (jnienv, native__this, JniHandleOwnership.DoNotTransfer);
double[] p0 = (double[])JNIEnv.GetArray(native_p0, JniHandleOwnership.DoNotTransfer, typeof(double));
IntPtr __ret = JNIEnv.NewArray(__this.NormalizeMax(p0));
if (p0 != null)
{
JNIEnv.CopyArray(p0, native_p0);
}
return(__ret);
}
static void n_Normalize_Lorg_neuroph_core_learning_DataSet_(IntPtr jnienv, IntPtr native__this, IntPtr native_p0)
{
global::Org.Neuroph.Util.Norm.MaxNormalizer __this = global::Java.Lang.Object.GetObject <global::Org.Neuroph.Util.Norm.MaxNormalizer> (jnienv, native__this, JniHandleOwnership.DoNotTransfer);
global::Org.Neuroph.Core.Learning.DataSet p0 = global::Java.Lang.Object.GetObject <global::Org.Neuroph.Core.Learning.DataSet> (native_p0, JniHandleOwnership.DoNotTransfer);
__this.Normalize(p0);
}
