代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/385817/8787723
makefile
CXXC = g++
CFLAGS = -Wall -O3
all: svm-train svm-predict svm-scale
svm-predict: svm-predict.c svm.o
$(CXXC) $(CFLAGS) svm-predict.c svm.o -o svm-predict -lm
svm-train: svm-train.c svm.o
$(CXXC) $
www.eeworm.com/read/427351/8950206
makefile
CXXC = g++
CFLAGS = -Wall -O3
all: svm-train svm-predict svm-scale
svm-predict: svm-predict.c svm.o
$(CXXC) $(CFLAGS) svm-predict.c svm.o -o svm-predict -lm
svm-train: svm-train.c svm.o
$(CXXC) $
www.eeworm.com/read/283068/9044403
makefile
CXXC = g++
CFLAGS = -Wall -O3
all: svm-train svm-predict svm-scale
svm-predict: svm-predict.c svm.o
$(CXXC) $(CFLAGS) svm-predict.c svm.o -o svm-predict -lm
svm-train: svm-train.c svm.o
$(CXXC) $
www.eeworm.com/read/379751/9178594
makefile
CXX? = g++
CFLAGS = -Wall -Wconversion -O3 -fPIC
SHVER = 1
all: svm-train svm-predict svm-scale
lib: svm.o
$(CXX) -shared svm.o -o libsvm.so.$(SHVER)
svm-predict: svm-predict.c svm.o
$(CXX) $(CFL
www.eeworm.com/read/371849/9533302
makefile
CXX? = g++
CFLAGS = -Wall -Wconversion -O3 -fPIC
SHVER = 1
all: svm-train svm-predict svm-scale
lib: svm.o
$(CXX) -shared svm.o -o libsvm.so.$(SHVER)
svm-predict: svm-predict.c svm.o
$(CXX) $(CFL
www.eeworm.com/read/365972/9837934
makefile
CXXC = g++
CFLAGS = -Wall -O3
all: svm-train svm-predict svm-scale
svm-predict: svm-predict.c svm.o
$(CXXC) $(CFLAGS) svm-predict.c svm.o -o svm-predict -lm
svm-train: svm-train.c svm.o
$(CXXC) $
www.eeworm.com/read/362096/10019323
makefile
#
# Makefile for mysvm
#
# if you get memory errors using mySVM (segmentation fault, bus error,...)
# compile mySVM with less or without optimization (setting CFLAGS = -Wall).
CFLAGS = -Wall -O4
CC =
www.eeworm.com/read/166201/10029545
txt nerve program.txt
神经网络源程序
% Construct the network object
net = network;
% Specify the input and layer size
net.numInputs = 1;
net.numLayers = 3;
% Set connections among all parts
net.biasConnect = [1;
www.eeworm.com/read/164569/10103092
txt 神经网络源程序.txt
% Construct the network object
net = network;
% Specify the input and layer size
net.numInputs = 1;
net.numLayers = 3;
% Set connections among all parts
net.biasConnect = [1; 1; 1];
www.eeworm.com/read/281195/10257579
makefile
CXXC = g++
CFLAGS = -Wall -O3
all: svm-train svm-predict svm-scale
svm-predict: svm-predict.c svm.o
$(CXXC) $(CFLAGS) svm-predict.c svm.o -o svm-predict -lm
svm-train: svm-train.c svm.o
$(CXXC) $