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未验证 提交 e4d8a5ee 编写于 作者: weixin_46662084's avatar weixin_46662084 提交者： GitHub
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Merge pull request #65 from primihub/develop 

1.1.5 release PR
上级 5f05c8a0 4e09d32a
展开全部 隐藏空白更改
内联 并排
Showing with 56208 addition and 3993 deletion
.github/workflows/main.yml
浏览文件 @ e4d8a5ee
...@@ -33,6 +33,7 @@ jobs: ...@@ -33,6 +33,7 @@ jobs:
with: with:
python-version: '3.9' # Version range or exact version of a Python version to use, using SemVer's version range syntax python-version: '3.9' # Version range or exact version of a Python version to use, using SemVer's version range syntax
architecture: 'x64' # optional x64 or x86. Defaults to x64 if not specified architecture: 'x64' # optional x64 or x86. Defaults to x64 if not specified
- run: sudo apt update
- name: Install gcc-8 - name: Install gcc-8
run: | run: |
sudo apt install -y gcc-8 g++-8 \ sudo apt install -y gcc-8 g++-8 \
...@@ -47,12 +48,10 @@ jobs: ...@@ -47,12 +48,10 @@ jobs:
with: with:
path: "~/.cache/bazel" path: "~/.cache/bazel"
key: bazel key: bazel
- name: set PYTHON LINK_OPTS
run: ./pre_build.sh
shell: bash
- name: bazel test - name: bazel test
run: | run: |
./pre_build.sh
bazel build --config=linux logistic_test maxpool_test falcon_lenet_test common_test network_test bazel build --config=linux logistic_test maxpool_test falcon_lenet_test common_test network_test
./bazel-bin/logistic_test ./bazel-bin/logistic_test
./bazel-bin/maxpool_test ./bazel-bin/maxpool_test
...@@ -79,13 +78,12 @@ jobs: ...@@ -79,13 +78,12 @@ jobs:
with: with:
path: "~/.cache/bazel" path: "~/.cache/bazel"
key: bazel key: bazel
- name: get python ldflags - name: get python ldflags
run: python3.9-config --ldflags run: python3.9-config --ldflags
- uses: actions/checkout@v3 - uses: actions/checkout@v3
- name: bazel build - name: bazel build
run: | run: |
./pre_build.sh
bazel build --config=darwin_x86_64 --config=macos common_test network_test logistic_test bazel build --config=darwin_x86_64 --config=macos common_test network_test logistic_test
./bazel-bin/common_test ./bazel-bin/common_test
./bazel-bin/network_test ./bazel-bin/network_test
...@@ -94,6 +92,7 @@ jobs: ...@@ -94,6 +92,7 @@ jobs:
# bazel test --config=darwin_x86_64 --config=macos protocol_aby3_test # bazel test --config=darwin_x86_64 --config=macos protocol_aby3_test
# bazel test --config=darwin_x86_64 --config=macos prng_test # bazel test --config=darwin_x86_64 --config=macos prng_test
# bazel test --config=darwin_x86_64 --config=macos share_test # bazel test --config=darwin_x86_64 --config=macos share_test
shell: bash
build-on-ubuntu: build-on-ubuntu:
...@@ -108,6 +107,7 @@ jobs: ...@@ -108,6 +107,7 @@ jobs:
with: with:
python-version: '3.9' # Version range or exact version of a Python version to use, using SemVer's version range syntax python-version: '3.9' # Version range or exact version of a Python version to use, using SemVer's version range syntax
architecture: 'x64' # optional x64 or x86. Defaults to x64 if not specified architecture: 'x64' # optional x64 or x86. Defaults to x64 if not specified
- run: sudo apt update
- name: Install gcc-8 - name: Install gcc-8
run: | run: |
sudo apt install -y gcc-8 g++-8 \ sudo apt install -y gcc-8 g++-8 \
...@@ -129,6 +129,7 @@ jobs: ...@@ -129,6 +129,7 @@ jobs:
run: | run: |
# cc_binary # cc_binary
bazel build --config=linux :node :cli :opt_paillier_c2py_test bazel build --config=linux :node :cli :opt_paillier_c2py_test
build-on-mac_x86_64: build-on-mac_x86_64:
needs: unit-test-on-macos_x86_64 needs: unit-test-on-macos_x86_64
...@@ -147,7 +148,9 @@ jobs: ...@@ -147,7 +148,9 @@ jobs:
- name: bazel build - name: bazel build
run: | run: |
# cc_binary # cc_binary
./pre_build.sh
bazel build --config=darwin_x86_64 --config=macos :node :cli :opt_paillier_c2py_test --sandbox_debug bazel build --config=darwin_x86_64 --config=macos :node :cli :opt_paillier_c2py_test --sandbox_debug
shell: bash
- name: Release copy - name: Release copy
run : | run : |
cp ./bazel-bin/node ./bazel-bin/primihub-node cp ./bazel-bin/node ./bazel-bin/primihub-node
......
.gitignore
浏览文件 @ e4d8a5ee
...@@ -105,5 +105,10 @@ output ...@@ -105,5 +105,10 @@ output
*.egg-info/ *.egg-info/
*.pyc *.pyc
# sphinx .rst
*.rst
primihub.code-workspace
# leveldb storage # leveldb storage
localdb/ localdb/
BUILD.bazel
浏览文件 @ e4d8a5ee
...@@ -519,12 +519,12 @@ cc_library( ...@@ -519,12 +519,12 @@ cc_library(
]), ]),
hdrs = glob([ hdrs = glob([
"src/primihub/task/**/*.h", "src/primihub/task/**/*.h",
"src/primihub/util/util.h"
]), ]),
copts = C_OPT, copts = C_OPT,
# PLACEHOLDER-PYTHON3.X-CONFIG (pre_build.sh use it to # pre_build.sh use it to help locate line content of which need replace,
# help locate line content of which need replace, don't # don't remove it.
# remove it.) linkopts = LINK_OPTS + PLACEHOLDER-PYTHON3.X-CONFIG,
linkopts = LINK_OPTS + ["-L/usr/local/opt/python@3.9/Frameworks/Python.framework/Versions/3.9/lib/python3.9/config-3.9-darwin -ldl -lpython3.9 -framework CoreFoundation"],
linkstatic = False, linkstatic = False,
deps = TASK_LIB_DEPS, deps = TASK_LIB_DEPS,
) )
...@@ -1341,7 +1341,7 @@ cc_test( ...@@ -1341,7 +1341,7 @@ cc_test(
":logistic_test", ":logistic_test",
":prng_test", ":prng_test",
":share_test", ":share_test",
":paillier_test", ":opt_paillier_test",
], ],
) )
......
Dockerfile
浏览文件 @ e4d8a5ee
...@@ -50,7 +50,7 @@ WORKDIR /src ...@@ -50,7 +50,7 @@ WORKDIR /src
ADD . /src ADD . /src
# Bazel build primihub-node & primihub-cli & paillier shared library # Bazel build primihub-node & primihub-cli & paillier shared library
RUN bash pre_docker_build.sh \ RUN bash pre_build.sh \
&& bazel build --config=linux :node :cli :opt_paillier_c2py_test && bazel build --config=linux :node :cli :opt_paillier_c2py_test
FROM ubuntu:18.04 as runner FROM ubuntu:18.04 as runner
...@@ -83,17 +83,17 @@ WORKDIR /app ...@@ -83,17 +83,17 @@ WORKDIR /app
COPY --from=builder /src/config ./ COPY --from=builder /src/config ./
# Copy primihub python sources to /app and setup to system python3 # Copy primihub python sources to /app and setup to system python3
RUN mkdir primihub_python RUN mkdir -p src/primihub/protos
COPY --from=builder /src/python/ ./primihub_python/ COPY --from=builder /src/python ./python
COPY --from=builder /src/src/primihub/protos/ ./src/primihub/protos/
COPY --from=builder src/python/primihub/tests/data/ /tmp/ COPY --from=builder src/python/primihub/tests/data/ /tmp/
WORKDIR /app/primihub_python WORKDIR /app/python
RUN python3.9 -m pip install --upgrade pip setuptools RUN python3.9 -m pip install --upgrade pip setuptools
RUN python3.9 -m pip install -r requirements.txt RUN python3.9 -m pip install -r requirements.txt
RUN python3.9 setup.py install RUN python3.9 setup.py install
ENV PYTHONPATH=/usr/lib/python3.9/site-packages/:$TARGET_PATH ENV PYTHONPATH=/usr/lib/python3.9/site-packages/:$TARGET_PATH
WORKDIR /app WORKDIR /app
# gRPC server port # gRPC server port
EXPOSE 50050 EXPOSE 50050
# Cryptool port # Cryptool port
......
Dockerfile.local
浏览文件 @ e4d8a5ee
FROM ubuntu:20.04 as runner FROM ubuntu:20.04 as runner
ENV LANG C.UTF-8 ENV LANG=en_US.UTF-8
ENV LANGUAGE=en_US.UTF-8
ENV LC_ALL=en_US.UTF-8
ENV DEBIAN_FRONTEND=noninteractive ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update \ RUN apt-get update \
&& apt-get install -y python3.9 python3.9-dev libgmp-dev python3-pip git \ && apt-get install -y python3.9 python3.9-dev libgmp-dev python3-pip git \
&& rm -rf /var/lib/apt/lists/* && rm -rf /var/lib/apt/lists/*
ARG TARGET_PATH=/root/.cache/bazel/_bazel_root/17a1cd4fb136f9bc7469e0db6305b35a/execroot/__main__/bazel-out/k8-fastbuild/bin ARG TARGET_PATH=/root/.cache/bazel/_bazel_root/17a1cd4fb136f9bc7469e0db6305b35a/execroot/__main__/bazel-out/k8-fastbuild/bin
WORKDIR $TARGET_PATH WORKDIR $TARGET_PATH
# Copy binaries to TARGET_PATH # Copy binaries to TARGET_PATH
COPY . ./ COPY . ./
# Copy test data files to /tmp/ # Copy test data files to /tmp/
COPY ./data/ /tmp/ COPY ./data/ /tmp/
# Make symlink to primihub-node & primihub-cli
RUN mkdir -p /app/config /app/primihub_python && ln -s $TARGET_PATH/node /app/primihub-node && ln -s $TARGET_PATH/cli /app/primihub-cli
# Change WorkDir to /app # Change WorkDir to /app
WORKDIR /app WORKDIR /app
# Make symlink to primihub-node & primihub-cli
RUN ln -s $TARGET_PATH/node /app/primihub-node && ln -s $TARGET_PATH/cli /app/primihub-cli
# Copy all test config files to /app # Copy all test config files to /app
COPY ./config/ ./config/ COPY ./config ./config
# Copy primihub python sources to /app and setup to system python3 # Copy primihub python sources to /app and setup to system python3
COPY ./python/ ./primihub_python/ COPY ./python ./python
COPY ./src ./src
RUN cd primihub_python \ WORKDIR /app/python
&& python3.9 -m pip install --upgrade pip \ RUN python3.9 -m pip install --upgrade pip \
&& pip3 install -r requirements.txt \ && python3.9 -m pip install --no-cache-dir -r requirements.txt
&& python3.9 setup.py install
RUN python3.9 -m pip install cloudpickle
RUN python3.9 -m pip uninstall primihub \
RUN python3.9 setup.py install
RUN python3.9 setup.py develop
WORKDIR /app
RUN ln -s /app/python /app/primihub_python
ENV PYTHONPATH=/usr/lib/python3.9/site-packages/:$TARGET_PATH ENV PYTHONPATH=/usr/lib/python3.9/site-packages/:$TARGET_PATH
# gRPC server port # gRPC server port
EXPOSE 50050 8888 EXPOSE 50050 8888
# Cryptool port # Cryptool port
EXPOSE 12120 EXPOSE 12120
EXPOSE 12121 EXPOSE 12121
\ No newline at end of file
WORKSPACE
浏览文件 @ e4d8a5ee
...@@ -142,7 +142,7 @@ http_archive( ...@@ -142,7 +142,7 @@ http_archive(
name = "bazel_common", name = "bazel_common",
url = "https://github.com/google/bazel-common/archive/refs/heads/master.zip", url = "https://github.com/google/bazel-common/archive/refs/heads/master.zip",
strip_prefix = "bazel-common-master", strip_prefix = "bazel-common-master",
sha256 = "b7a8e1a4ad843df69c9714377f023276cd15c3b706a46b6e5a1dc7e101fec419", sha256 = "7034b3fb6b3051d70f33853fff48b0e931b57e35c6a32bba0280c6f2b6d6ee0c",
) )
http_archive( http_archive(
......
build_local.sh
浏览文件 @ e4d8a5ee
...@@ -34,18 +34,18 @@ IMAGE_NAME="primihub/primihub_node" ...@@ -34,18 +34,18 @@ IMAGE_NAME="primihub/primihub_node"
sed -i "10c ARG TARGET_PATH=$BASE_DIR" Dockerfile.local sed -i "10c ARG TARGET_PATH=$BASE_DIR" Dockerfile.local
rm -rf $BASE_DIR/python $BASE_DIR/config #rm -rf $BASE_DIR/python $BASE_DIR/config
rm -f $BASE_DIR/Dockerfile.local rm -f $BASE_DIR/Dockerfile.local
rm -f $BASE_DIR/.dockerignore rm -f $BASE_DIR/.dockerignore
rm -rf $BASE_DIR/data #rm -rf $BASE_DIR/data
cp -r ./data $BASE_DIR/ cp -r ./data $BASE_DIR/
cp -r ./python $BASE_DIR/ cp -r ./python $BASE_DIR/
cp -r ./config $BASE_DIR/ cp -r ./config $BASE_DIR/
cp ./Dockerfile.local $BASE_DIR/ cp ./Dockerfile.local $BASE_DIR/
cp -r ./src $BASE_DIR/
cd $BASE_DIR cd $BASE_DIR
find ./ -name "_objs" > .dockerignore find ./ -name "_objs" > .dockerignore
docker build -t $IMAGE_NAME:$1 . -f Dockerfile.local docker build --no-cache -t $IMAGE_NAME:$1 . -f Dockerfile.local
\ No newline at end of file
config/node1.yaml
浏览文件 @ e4d8a5ee
...@@ -33,15 +33,18 @@ datasets: ...@@ -33,15 +33,18 @@ datasets:
- description: "test_party_1" - description: "test_party_1"
model: "csv" model: "csv"
source: "data/test_party_1.csv" source: "data/test_party_1.csv"
- description: "guest_dataset"
model: "csv"
source: "data/breast-cancer-wisconsin.data"
- description: "pir_server_data" - description: "pir_server_data"
model: "csv" model: "csv"
source: "data/pir_server.csv" source: "data/pir_server.csv"
- description: "psi_server_data" - description: "psi_server_data"
model: "csv" model: "csv"
source: "data/server_e.csv" source: "data/server_e.csv"
- description: "label_dataset"
model: "csv"
source: "data/FL/wisconsin_host.data"
- description: "test_dataset"
model: "csv"
source: "data/FL/wisconsin_test.data"
localkv: localkv:
model: "leveldb" model: "leveldb"
...@@ -54,5 +57,3 @@ p2p: ...@@ -54,5 +57,3 @@ p2p:
- "/ip4/127.0.0.1/tcp/4001/ipfs/QmdSyhb8eR9dDSR5jjnRoTDBwpBCSAjT7WueKJ9cQArYoA" - "/ip4/127.0.0.1/tcp/4001/ipfs/QmdSyhb8eR9dDSR5jjnRoTDBwpBCSAjT7WueKJ9cQArYoA"
multi_addr: "/ip4/127.0.0.1/tcp/8888" multi_addr: "/ip4/127.0.0.1/tcp/8888"
dht_get_value_timeout: 60 dht_get_value_timeout: 60
config/node2.yaml
浏览文件 @ e4d8a5ee
...@@ -27,12 +27,30 @@ datasets: ...@@ -27,12 +27,30 @@ datasets:
- description: "test_party_2_next" - description: "test_party_2_next"
model: "csv" model: "csv"
source: "data/falcon/dataset/MNIST/input_0" source: "data/falcon/dataset/MNIST/input_0"
- description: "train_party_2"
model: "csv"
source: "/tmp/train_party_2.csv"
- description: "test_party_2"
model: "csv"
source: "/tmp/test_party_2.csv"
- description: "label_dataset" - description: "label_dataset"
model: "csv" model: "csv"
source: "data/breast-cancer-wisconsin-label.data" source: "data/FL/wisconsin_host.data"
- description: "xgb_predict_test_data"
model: "csv"
source: "data/FL/wisconsin_test.data"
- description: "psi_client_data" - description: "psi_client_data"
model: "csv" model: "csv"
source: "data/client_e.csv" source: "data/client_e.csv"
- description: "guest_dataset"
model: "csv"
source: "data/FL/wisconsin_guest.data"
- description: "train_party_2"
model: "csv"
source: "data/train_party_2.csv"
- description: "test_party_2"
model: "csv"
source: "data/test_party_2.csv"
localkv: localkv:
model: "leveldb" model: "leveldb"
...@@ -45,4 +63,3 @@ p2p: ...@@ -45,4 +63,3 @@ p2p:
- "/ip4/127.0.0.1/tcp/4001/ipfs/QmdSyhb8eR9dDSR5jjnRoTDBwpBCSAjT7WueKJ9cQArYoA" - "/ip4/127.0.0.1/tcp/4001/ipfs/QmdSyhb8eR9dDSR5jjnRoTDBwpBCSAjT7WueKJ9cQArYoA"
multi_addr: "/ip4/127.0.0.1/tcp/8889" multi_addr: "/ip4/127.0.0.1/tcp/8889"
dht_get_value_timeout: 60 dht_get_value_timeout: 60
config/primihub_node1.yaml
浏览文件 @ e4d8a5ee
...@@ -17,15 +17,18 @@ datasets: ...@@ -17,15 +17,18 @@ datasets:
- description: "test_party_1" - description: "test_party_1"
model: "csv" model: "csv"
source: "/tmp/test_party_1.csv" source: "/tmp/test_party_1.csv"
- description: "guest_dataset"
model: "csv"
source: "/tmp/breast-cancer-wisconsin.data"
- description: "pir_server_data" - description: "pir_server_data"
model: "csv" model: "csv"
source: "/tmp/pir_server.csv" source: "/tmp/pir_server.csv"
- description: "psi_server_data" - description: "psi_server_data"
model: "csv" model: "csv"
source: "/tmp/server_e.csv" source: "/tmp/server_e.csv"
- description: "label_dataset"
model: "csv"
source: "/tmp/FL/wisconsin_host.data"
- description: "test_dataset"
model: "csv"
source: "/tmp/FL/wisconsin_test.data"
localkv: localkv:
model: "leveldb" model: "leveldb"
......
config/primihub_node2.yaml
浏览文件 @ e4d8a5ee
...@@ -17,12 +17,13 @@ datasets: ...@@ -17,12 +17,13 @@ datasets:
- description: "test_party_2" - description: "test_party_2"
model: "csv" model: "csv"
source: "/tmp/test_party_2.csv" source: "/tmp/test_party_2.csv"
- description: "label_dataset"
model: "csv"
source: "/tmp/breast-cancer-wisconsin-label.data"
- description: "psi_client_data" - description: "psi_client_data"
model: "csv" model: "csv"
source: "/tmp/client_e.csv" source: "/tmp/client_e.csv"
- description: "guest_dataset"
model: "csv"
source: "/tmp/FL/wisconsin_guest.data"
localkv: localkv:
model: "leveldb" model: "leveldb"
......
data/FL/student_guest.data 0 → 100644
浏览文件 @ e4d8a5ee
x6,x7,x8,x9,x10,x11,x12
4,3,4,1,1,3,6
5,3,3,1,1,3,4
4,3,2,2,3,3,10
3,2,2,1,1,5,2
4,3,2,1,2,5,4
5,4,2,1,2,5,10
4,4,4,1,1,3,0
4,1,4,1,1,1,6
4,2,2,1,1,1,0
5,5,1,1,1,5,0
3,3,3,1,2,2,0
5,2,2,1,1,4,4
4,3,3,1,3,5,2
5,4,3,1,2,3,2
4,5,2,1,1,3,0
4,4,4,1,2,2,4
3,2,3,1,2,2,6
5,3,2,1,1,4,4
5,5,5,2,4,5,16
3,1,3,1,3,5,4
4,4,1,1,1,1,0
5,4,2,1,1,5,0
4,5,1,1,3,5,2
5,4,4,2,4,5,0
4,3,2,1,1,5,2
1,2,2,1,3,5,14
4,2,2,1,2,5,2
2,2,4,2,4,1,4
5,3,3,1,1,5,4
4,4,5,5,5,5,16
5,4,2,3,4,5,0
4,3,1,1,1,5,0
4,5,2,1,1,5,0
5,3,2,1,1,2,0
5,4,3,1,1,5,0
3,5,1,1,1,5,0
5,4,3,1,1,4,2
2,4,3,1,1,5,7
4,3,2,1,1,5,2
4,3,1,1,1,2,8
3,3,3,1,2,3,25
5,4,3,2,4,5,8
4,3,3,1,1,5,2
5,4,1,1,1,1,0
4,3,3,2,2,5,14
5,2,2,1,1,5,8
2,3,5,1,4,3,12
4,2,2,1,1,2,4
4,3,3,2,2,5,2
4,4,4,1,1,3,2
4,3,3,2,3,4,2
4,3,3,1,1,5,2
5,5,5,3,4,5,6
3,3,4,2,3,5,0
5,3,4,4,4,1,6
5,3,4,1,1,2,8
4,3,2,1,1,1,0
3,2,2,1,1,5,4
4,3,2,1,1,5,2
4,2,3,1,1,5,2
2,4,4,2,3,4,6
5,5,5,5,5,5,6
4,4,3,1,1,1,4
3,4,4,2,4,4,2
4,4,4,2,4,2,0
5,4,3,1,2,1,2
1,3,3,5,5,3,4
4,3,3,1,2,5,4
4,1,3,1,3,4,2
4,4,2,2,3,3,12
4,3,2,1,1,5,0
3,3,3,1,1,3,0
3,3,4,2,4,5,2
5,3,2,2,2,5,2
4,3,3,2,4,5,54
4,3,3,2,3,5,6
3,4,3,1,1,1,8
5,2,3,1,3,3,0
4,5,1,1,1,3,2
2,4,3,1,2,3,12
3,2,2,1,3,3,2
5,3,2,1,2,5,4
4,4,4,1,1,5,10
5,3,3,1,3,4,4
4,3,2,2,3,4,2
4,4,4,2,3,5,6
4,3,4,1,2,2,4
5,3,3,1,3,1,4
4,4,2,1,1,3,12
4,1,3,3,5,5,18
4,3,3,1,3,4,0
4,5,5,1,3,1,4
3,3,3,2,3,2,4
5,3,3,1,1,1,0
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3,1,2,1,1,1,2
3,3,3,1,1,4,2
4,3,5,1,1,5,2
5,3,4,1,2,1,6
5,3,5,1,1,3,0
4,5,5,5,5,4,14
4,4,3,1,1,4,0
5,3,3,1,1,5,4
4,3,5,1,1,2,26
5,4,4,1,1,1,0
4,3,3,1,1,4,10
5,1,2,1,1,3,8
5,3,3,1,1,5,2
1,3,5,3,5,1,6
5,4,5,1,1,4,4
5,5,3,1,1,4,6
4,1,2,1,1,2,0
3,1,2,1,1,5,6
3,5,2,1,1,3,10
5,4,2,1,1,5,8
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3,4,4,1,4,5,18
5,4,4,1,1,5,0
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3,5,5,2,5,4,8
4,2,2,2,2,5,0
4,3,3,1,2,4,0
3,4,4,1,3,5,12
3,2,1,1,4,5,16
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4,2,1,2,3,3,8
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4,4,4,1,1,1,2
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3,4,3,2,3,3,10
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4,2,3,1,1,4,6
4,3,1,1,1,1,12
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3,5,2,2,2,1,2
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4,1,1,1,1,5,75
3,2,4,1,4,3,22
2,4,4,1,1,4,15
data/FL/student_host.data 0 → 100644
浏览文件 @ e4d8a5ee
Class,x0,x1,x2,x3,x4,x5
6,18,4,4,2,2,0
6,17,1,1,1,2,0
10,15,1,1,1,2,3
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data/FL/student_local.data 0 → 100644
浏览文件 @ e4d8a5ee
Class,x0,x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12
6,18,4,4,2,2,0,4,3,4,1,1,3,6
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11,16,3,3,1,2,0,2,3,5,1,4,3,12
20,16,4,3,1,4,0,4,2,2,1,1,2,4
14,15,4,2,1,2,0,4,3,3,2,2,5,2
7,15,4,4,1,2,1,4,4,4,1,1,3,2
13,16,2,2,3,2,0,4,3,3,2,3,4,2
13,15,4,2,1,2,0,4,3,3,1,1,5,2
10,15,4,2,2,1,1,5,5,5,3,4,5,6
11,15,4,4,1,1,0,3,3,4,2,3,5,0
13,15,3,3,1,1,0,5,3,4,4,4,1,6
10,16,2,1,1,2,0,5,3,4,1,1,2,8
15,15,4,3,1,2,0,4,3,2,1,1,1,0
15,15,4,4,1,2,0,3,2,2,1,1,5,4
9,15,1,2,1,2,0,4,3,2,1,1,5,2
16,16,4,2,1,2,0,4,2,3,1,1,5,2
11,16,4,4,1,2,0,2,4,4,2,3,4,6
11,16,1,1,4,1,0,5,5,5,5,5,5,6
9,16,1,2,1,2,0,4,4,3,1,1,1,4
9,16,4,3,1,3,0,3,4,4,2,4,4,2
10,15,4,3,1,2,0,4,4,4,2,4,2,0
15,16,4,3,3,2,0,5,4,3,1,2,1,2
12,15,4,4,1,4,0,1,3,3,5,5,3,4
6,16,3,1,1,4,0,4,3,3,1,2,5,4
8,15,2,2,2,2,0,4,1,3,1,3,4,2
16,15,3,1,2,4,0,4,4,2,2,3,3,12
15,16,3,1,2,4,0,4,3,2,1,1,5,0
10,15,4,2,1,4,0,3,3,3,1,1,3,0
5,15,1,1,1,2,2,3,3,4,2,4,5,2
14,16,3,1,1,1,0,5,3,2,2,2,5,2
11,16,3,3,1,2,0,4,3,3,2,4,5,54
10,15,4,3,1,2,0,4,3,3,2,3,5,6
10,15,4,0,2,4,0,3,4,3,1,1,1,8
11,16,2,2,1,4,0,5,2,3,1,3,3,0
10,17,2,1,2,1,3,4,5,1,1,1,3,2
5,16,3,4,1,2,0,2,4,3,1,2,3,12
12,15,2,3,1,1,0,3,2,2,1,3,3,2
11,15,2,3,1,3,0,5,3,2,1,2,5,4
6,15,3,2,1,2,0,4,4,4,1,1,5,10
15,15,2,2,2,2,0,5,3,3,1,3,4,4
10,15,1,1,1,2,0,4,3,2,2,3,4,2
8,15,4,4,2,2,2,4,4,4,2,3,5,6
6,16,2,2,1,2,0,4,3,4,1,2,2,4
14,15,4,2,1,3,0,5,3,3,1,3,1,4
10,16,2,2,2,2,1,4,4,2,1,1,3,12
7,16,4,4,1,2,0,4,1,3,3,5,5,18
8,16,3,3,1,3,0,4,3,3,1,3,4,0
18,15,4,3,1,1,0,4,5,5,1,3,1,4
6,16,3,1,1,2,0,3,3,3,2,3,2,4
10,16,4,2,2,2,0,5,3,3,1,1,1,0
14,15,2,2,1,4,0,4,3,4,1,1,4,6
10,15,1,1,2,4,1,3,1,2,1,1,1,2
15,16,4,3,2,1,0,3,3,3,1,1,4,2
10,16,2,1,1,2,0,4,3,5,1,1,5,2
14,16,4,4,1,1,0,5,3,4,1,2,1,6
8,16,4,3,1,3,0,5,3,5,1,1,3,0
5,16,4,4,1,1,0,4,5,5,5,5,4,14
17,16,4,4,1,3,0,4,4,3,1,1,4,0
14,15,4,4,1,1,0,5,3,3,1,1,5,4
6,15,3,2,2,2,0,4,3,5,1,1,2,26
18,15,3,4,1,2,0,5,4,4,1,1,1,0
11,15,3,3,1,4,0,4,3,3,1,1,4,10
8,15,2,2,1,4,0,5,1,2,1,1,3,8
18,16,3,3,1,3,0,5,3,3,1,1,5,2
13,15,4,4,4,4,0,1,3,5,3,5,1,6
16,16,4,4,1,3,0,5,4,5,1,1,4,4
19,15,4,4,1,1,0,5,5,3,1,1,4,6
10,16,3,3,1,3,1,4,1,2,1,1,2,0
13,16,2,2,1,2,1,3,1,2,1,1,5,6
19,15,4,2,1,1,0,3,5,2,1,1,3,10
9,15,2,1,1,2,0,5,4,2,1,1,5,8
16,16,4,4,1,2,0,5,4,4,1,2,5,2
14,15,4,4,2,2,0,4,4,3,1,1,2,2
13,16,3,3,2,1,0,5,4,2,1,1,5,0
8,17,1,3,3,2,1,5,2,4,1,4,5,20
13,15,3,4,1,1,0,3,4,3,1,2,4,6
15,15,1,2,1,2,0,3,2,3,1,2,1,2
15,15,2,2,1,4,0,5,5,4,1,2,5,6
13,16,2,4,2,2,0,4,2,2,1,2,5,2
13,16,4,4,1,1,0,3,4,4,1,4,5,18
8,16,2,2,1,2,0,5,4,4,1,1,5,0
12,15,3,4,1,1,0,5,5,5,3,2,5,0
11,15,3,4,1,2,0,5,3,2,1,1,1,0
9,19,0,1,1,2,3,3,4,2,1,1,5,2
0,18,2,2,1,1,2,3,3,3,1,2,4,0
18,16,4,4,1,1,0,3,5,5,2,5,4,8
0,15,3,4,2,3,2,4,2,2,2,2,5,0
0,15,1,1,3,1,0,4,3,3,1,2,4,0
12,17,2,2,1,1,0,3,4,4,1,3,5,12
11,16,3,4,1,1,0,3,2,1,1,4,5,16
0,15,3,4,4,2,0,5,3,3,1,1,5,0
0,15,4,4,1,3,0,4,3,3,1,1,5,0
0,17,3,4,3,2,0,5,4,5,2,4,5,0
0,16,3,3,2,1,2,4,3,2,1,1,5,0
12,16,1,1,1,2,1,4,4,4,1,3,5,0
15,15,4,4,2,1,0,4,3,2,1,1,5,0
0,15,4,3,2,4,0,2,2,2,1,1,3,0
9,16,2,2,2,1,2,2,3,3,2,2,2,8
11,15,4,4,1,3,0,4,2,2,1,1,5,2
13,16,1,1,1,1,0,3,4,4,3,3,1,2
0,17,2,1,1,1,3,5,4,5,1,2,5,0
11,15,1,1,1,2,0,4,4,2,1,2,5,0
0,15,3,2,1,2,3,3,3,2,1,1,3,0
11,15,1,2,1,2,0,4,3,2,1,1,5,2
0,16,4,4,1,1,0,3,3,2,2,1,5,0
10,15,2,1,4,1,3,4,5,5,2,5,5,0
0,18,1,1,1,1,3,2,3,5,2,5,4,0
14,16,2,1,1,1,1,4,4,4,3,5,5,6
10,15,3,3,2,3,2,4,2,1,2,3,3,8
0,19,3,2,1,1,3,4,5,4,1,1,4,0
12,17,4,4,1,1,0,4,2,1,1,1,4,0
8,15,2,3,1,2,0,4,4,4,1,1,1,2
13,17,1,2,1,1,0,2,2,2,3,3,5,8
10,18,1,1,3,1,3,5,2,5,1,5,4,6
15,16,2,2,3,1,0,4,2,2,1,2,3,2
12,16,3,3,1,2,1,4,5,5,4,4,5,4
0,17,2,1,2,1,2,3,3,2,2,2,5,0
7,15,3,2,2,2,2,4,4,4,1,4,3,6
0,16,1,2,2,1,1,4,4,4,2,4,5,0
10,17,1,3,1,1,0,5,3,3,1,4,2,2
7,17,1,1,4,2,3,5,3,5,1,5,5,0
12,16,3,2,2,1,1,4,5,2,1,1,2,16
10,16,2,2,1,2,0,4,3,5,2,4,4,4
16,16,4,2,1,2,0,4,2,3,1,1,3,0
0,16,2,2,1,2,0,5,1,5,1,1,4,0
14,16,4,4,1,2,0,4,4,2,1,1,3,0
0,16,3,4,3,1,2,3,4,5,2,4,2,0
16,16,1,0,2,2,0,4,3,2,1,1,3,2
10,17,4,4,1,2,0,4,4,4,1,3,5,0
0,16,1,3,1,2,3,4,3,5,1,1,3,0
9,16,3,3,2,2,0,4,4,5,1,1,4,4
9,17,4,3,2,2,0,4,4,4,4,4,4,4
11,16,2,2,2,2,0,3,4,4,1,4,5,2
6,17,3,3,1,2,0,4,3,4,1,4,4,4
9,16,4,2,1,1,0,4,3,3,3,4,3,10
11,17,4,3,1,2,0,5,2,3,1,1,2,4
8,16,4,3,1,2,0,3,4,3,2,3,3,10
12,16,3,3,1,2,0,4,2,3,1,2,3,2
17,17,2,4,1,2,0,5,4,2,2,3,5,0
8,17,3,3,1,2,0,5,3,3,2,3,1,56
12,16,3,2,1,2,0,1,2,2,1,2,1,14
11,17,3,3,1,2,0,4,3,4,2,3,4,12
11,16,1,2,1,1,0,3,3,3,1,2,3,2
15,16,2,1,1,2,0,4,2,3,1,2,5,0
9,17,3,3,1,2,0,3,3,3,1,3,3,6
10,17,1,2,1,2,0,3,1,3,1,5,3,4
13,16,2,3,1,2,0,4,3,3,1,1,2,10
9,17,1,1,1,2,0,5,3,3,1,1,3,0
8,17,1,2,2,2,0,4,4,4,4,5,5,12
10,16,3,3,1,1,0,4,3,2,3,4,5,8
14,16,2,3,2,1,0,5,3,3,1,1,3,0
15,17,2,4,1,2,0,4,3,2,1,1,5,0
16,17,4,4,1,1,0,5,2,3,1,2,5,4
10,16,3,3,3,1,0,3,3,4,3,5,3,8
18,17,4,4,2,1,1,4,2,4,2,3,2,24
10,16,4,4,1,2,0,4,5,2,1,2,3,0
16,16,4,3,1,2,0,4,3,5,1,5,2,2
10,16,2,3,1,2,0,4,4,3,1,3,4,6
10,17,1,1,1,2,0,4,4,4,1,3,1,4
6,17,2,2,1,1,0,5,3,2,1,2,3,18
11,16,2,2,2,4,0,5,3,5,1,1,5,6
9,17,3,4,1,3,1,4,4,3,3,4,5,28
7,16,3,1,1,2,3,2,3,3,2,2,4,5
13,16,4,3,1,2,0,1,3,2,1,1,1,10
10,16,1,1,2,1,0,4,3,2,1,4,5,6
7,17,4,3,2,3,0,4,4,2,1,1,4,6
8,19,3,3,1,4,0,4,3,3,1,2,3,10
13,17,4,4,1,2,0,5,3,5,4,5,3,13
14,16,2,2,1,2,0,3,3,4,1,1,4,0
8,18,2,2,1,2,1,4,4,4,2,4,5,15
10,17,4,4,1,1,0,5,2,1,1,2,3,12
15,17,3,2,2,2,0,4,4,4,1,3,1,2
4,17,4,3,1,2,2,3,4,5,2,4,1,22
8,18,3,3,1,2,1,3,2,4,2,4,4,13
8,17,2,3,2,1,0,3,3,3,1,4,3,3
10,17,2,2,1,3,0,4,3,3,1,1,4,4
6,17,2,1,2,2,0,4,2,5,1,2,5,2
0,17,1,1,1,3,1,4,3,4,1,1,5,0
17,16,2,3,1,2,0,2,3,1,1,1,3,2
13,18,2,2,2,2,0,3,3,3,5,5,4,0
14,16,4,4,1,3,0,5,3,2,1,1,5,0
7,18,3,1,1,2,1,5,3,3,1,1,4,16
15,17,3,2,1,2,0,5,3,4,1,3,3,10
12,17,2,3,1,2,0,5,3,3,1,3,3,2
9,18,2,1,4,2,0,4,3,2,4,5,3,14
12,17,2,1,2,3,0,3,2,3,1,2,3,10
14,17,4,3,1,2,0,3,2,3,1,2,3,14
11,17,2,2,2,2,0,4,5,2,1,1,1,4
9,17,4,4,1,2,0,4,5,5,1,3,2,14
13,16,4,4,1,2,0,4,2,4,2,4,1,2
6,16,1,1,2,2,0,3,4,2,1,1,5,18
10,16,3,2,2,3,0,5,3,3,1,3,2,10
13,17,2,2,1,2,0,4,4,2,5,5,4,4
12,16,2,1,1,1,0,4,5,2,1,1,5,20
11,17,2,1,3,2,0,2,1,1,1,1,3,2
0,18,2,2,1,2,1,5,5,4,3,5,2,0
12,17,4,3,2,2,0,2,5,5,1,4,5,14
12,17,4,4,2,2,0,3,3,3,2,3,4,2
0,16,4,3,1,1,0,5,4,5,1,1,3,0
12,16,4,4,1,1,0,5,3,2,1,2,5,0
0,18,2,1,2,3,0,4,4,4,1,1,3,0
18,16,2,1,3,1,0,4,3,3,1,1,4,6
13,17,2,3,2,1,0,5,2,2,1,1,2,4
8,22,3,1,1,1,3,5,4,5,5,5,1,16
5,18,3,3,1,2,1,4,3,3,1,3,5,8
15,16,0,2,1,1,0,4,3,2,2,4,5,0
8,18,3,2,2,1,1,4,4,5,2,4,5,0
10,16,3,3,3,2,0,5,3,3,1,3,2,6
8,18,2,1,1,1,1,3,2,5,2,5,5,4
8,16,2,1,2,1,0,3,3,2,1,3,3,0
12,17,2,1,1,1,0,4,4,2,2,4,5,0
8,17,1,1,2,1,1,4,4,4,1,2,5,2
13,17,4,2,1,4,0,4,2,3,1,1,4,6
11,19,4,3,1,2,0,4,3,1,1,1,1,12
14,18,2,1,1,2,0,5,2,4,1,2,4,8
0,17,2,2,1,4,0,3,4,1,1,1,2,0
18,18,4,3,1,2,0,3,1,2,1,3,2,21
8,18,4,3,1,2,0,4,3,2,1,1,3,2
12,18,3,2,1,3,0,5,3,2,1,1,3,1
9,17,3,3,1,3,0,3,2,3,1,1,4,4
0,18,2,2,1,3,0,4,3,3,1,1,3,0
17,18,3,4,2,2,0,4,2,5,3,4,1,13
10,17,3,1,1,2,0,5,4,4,3,4,5,2
11,18,4,4,2,2,0,4,3,4,2,2,4,8
10,18,4,2,1,2,0,5,4,5,1,3,5,10
0,18,2,1,2,2,0,4,3,5,1,2,3,0
9,19,3,3,1,2,2,4,3,5,3,3,5,15
14,18,2,3,1,4,0,4,5,5,1,3,2,4
11,18,1,1,2,2,0,4,4,3,1,1,3,2
14,17,1,2,1,2,0,3,5,2,2,2,1,2
10,17,2,4,2,2,0,4,3,3,1,1,1,2
12,17,2,2,2,2,0,4,4,4,2,3,5,6
9,18,3,2,2,2,0,4,1,1,1,1,5,75
9,18,4,4,2,1,0,3,2,4,1,4,3,22
8,18,4,4,1,2,1,2,4,4,1,1,4,15
data/FL/student_test.data 0 → 100644
浏览文件 @ e4d8a5ee
y,x0,x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12
6,18,4,4,2,2,0,4,3,4,1,1,3,6
6,17,1,1,1,2,0,5,3,3,1,1,3,4
10,15,1,1,1,2,3,4,3,2,2,3,3,10
15,15,4,2,1,3,0,3,2,2,1,1,5,2
10,16,3,3,1,2,0,4,3,2,1,2,5,4
15,16,4,3,1,2,0,5,4,2,1,2,5,10
11,16,2,2,1,2,0,4,4,4,1,1,3,0
6,17,4,4,2,2,0,4,1,4,1,1,1,6
19,15,3,2,1,2,0,4,2,2,1,1,1,0
15,15,3,4,1,2,0,5,5,1,1,1,5,0
9,15,4,4,1,2,0,3,3,3,1,2,2,0
12,15,2,1,3,3,0,5,2,2,1,1,4,4
14,15,4,4,1,1,0,4,3,3,1,3,5,2
11,15,4,3,2,2,0,5,4,3,1,2,3,2
16,15,2,2,1,3,0,4,5,2,1,1,3,0
14,16,4,4,1,1,0,4,4,4,1,2,2,4
14,16,4,4,1,3,0,3,2,3,1,2,2,6
10,16,3,3,3,2,0,5,3,2,1,1,4,4
5,17,3,2,1,1,3,5,5,5,2,4,5,16
10,16,4,3,1,1,0,3,1,3,1,3,5,4
15,15,4,3,1,2,0,4,4,1,1,1,1,0
15,15,4,4,1,1,0,5,4,2,1,1,5,0
16,16,4,2,1,2,0,4,5,1,1,3,5,2
12,16,2,2,2,2,0,5,4,4,2,4,5,0
8,15,2,4,1,3,0,4,3,2,1,1,5,2
8,16,2,2,1,1,2,1,2,2,1,3,5,14
11,15,2,2,1,1,0,4,2,2,1,2,5,2
15,15,4,2,1,1,0,2,2,4,2,4,1,4
11,16,3,4,1,2,0,5,3,3,1,1,5,4
11,16,4,4,1,2,0,4,4,5,5,5,5,16
12,15,4,4,1,2,0,5,4,2,3,4,5,0
17,15,4,4,2,2,0,4,3,1,1,1,5,0
16,15,4,3,1,2,0,4,5,2,1,1,5,0
12,15,3,3,1,2,0,5,3,2,1,1,2,0
15,16,3,2,1,1,0,5,4,3,1,1,5,0
6,15,2,3,2,1,0,3,5,1,1,1,5,0
18,15,4,3,1,3,0,5,4,3,1,1,4,2
15,16,4,4,2,3,0,2,4,3,1,1,5,7
11,15,3,4,1,3,0,4,3,2,1,1,5,2
13,15,2,2,1,1,0,4,3,1,1,1,2,8
11,16,2,2,2,2,1,3,3,3,1,2,3,25
12,15,4,4,1,1,0,5,4,3,2,4,5,8
18,15,4,4,1,2,0,4,3,3,1,1,5,2
11,15,2,2,1,1,0,5,4,1,1,1,1,0
9,16,2,2,2,2,1,4,3,3,2,2,5,14
6,15,4,3,1,2,0,5,2,2,1,1,5,8
11,16,3,3,1,2,0,2,3,5,1,4,3,12
20,16,4,3,1,4,0,4,2,2,1,1,2,4
14,15,4,2,1,2,0,4,3,3,2,2,5,2
7,15,4,4,1,2,1,4,4,4,1,1,3,2
13,16,2,2,3,2,0,4,3,3,2,3,4,2
13,15,4,2,1,2,0,4,3,3,1,1,5,2
10,15,4,2,2,1,1,5,5,5,3,4,5,6
11,15,4,4,1,1,0,3,3,4,2,3,5,0
13,15,3,3,1,1,0,5,3,4,4,4,1,6
10,16,2,1,1,2,0,5,3,4,1,1,2,8
15,15,4,3,1,2,0,4,3,2,1,1,1,0
15,15,4,4,1,2,0,3,2,2,1,1,5,4
9,15,1,2,1,2,0,4,3,2,1,1,5,2
16,16,4,2,1,2,0,4,2,3,1,1,5,2
11,16,4,4,1,2,0,2,4,4,2,3,4,6
11,16,1,1,4,1,0,5,5,5,5,5,5,6
9,16,1,2,1,2,0,4,4,3,1,1,1,4
9,16,4,3,1,3,0,3,4,4,2,4,4,2
10,15,4,3,1,2,0,4,4,4,2,4,2,0
15,16,4,3,3,2,0,5,4,3,1,2,1,2
12,15,4,4,1,4,0,1,3,3,5,5,3,4
6,16,3,1,1,4,0,4,3,3,1,2,5,4
8,15,2,2,2,2,0,4,1,3,1,3,4,2
16,15,3,1,2,4,0,4,4,2,2,3,3,12
15,16,3,1,2,4,0,4,3,2,1,1,5,0
10,15,4,2,1,4,0,3,3,3,1,1,3,0
5,15,1,1,1,2,2,3,3,4,2,4,5,2
14,16,3,1,1,1,0,5,3,2,2,2,5,2
11,16,3,3,1,2,0,4,3,3,2,4,5,54
10,15,4,3,1,2,0,4,3,3,2,3,5,6
10,15,4,0,2,4,0,3,4,3,1,1,1,8
11,16,2,2,1,4,0,5,2,3,1,3,3,0
10,17,2,1,2,1,3,4,5,1,1,1,3,2
5,16,3,4,1,2,0,2,4,3,1,2,3,12
12,15,2,3,1,1,0,3,2,2,1,3,3,2
11,15,2,3,1,3,0,5,3,2,1,2,5,4
6,15,3,2,1,2,0,4,4,4,1,1,5,10
15,15,2,2,2,2,0,5,3,3,1,3,4,4
10,15,1,1,1,2,0,4,3,2,2,3,4,2
8,15,4,4,2,2,2,4,4,4,2,3,5,6
6,16,2,2,1,2,0,4,3,4,1,2,2,4
14,15,4,2,1,3,0,5,3,3,1,3,1,4
10,16,2,2,2,2,1,4,4,2,1,1,3,12
7,16,4,4,1,2,0,4,1,3,3,5,5,18
8,16,3,3,1,3,0,4,3,3,1,3,4,0
18,15,4,3,1,1,0,4,5,5,1,3,1,4
6,16,3,1,1,2,0,3,3,3,2,3,2,4
10,16,4,2,2,2,0,5,3,3,1,1,1,0
14,15,2,2,1,4,0,4,3,4,1,1,4,6
10,15,1,1,2,4,1,3,1,2,1,1,1,2
15,16,4,3,2,1,0,3,3,3,1,1,4,2
10,16,2,1,1,2,0,4,3,5,1,1,5,2
14,16,4,4,1,1,0,5,3,4,1,2,1,6
8,16,4,3,1,3,0,5,3,5,1,1,3,0
5,16,4,4,1,1,0,4,5,5,5,5,4,14
17,16,4,4,1,3,0,4,4,3,1,1,4,0
14,15,4,4,1,1,0,5,3,3,1,1,5,4
6,15,3,2,2,2,0,4,3,5,1,1,2,26
18,15,3,4,1,2,0,5,4,4,1,1,1,0
11,15,3,3,1,4,0,4,3,3,1,1,4,10
8,15,2,2,1,4,0,5,1,2,1,1,3,8
18,16,3,3,1,3,0,5,3,3,1,1,5,2
13,15,4,4,4,4,0,1,3,5,3,5,1,6
16,16,4,4,1,3,0,5,4,5,1,1,4,4
19,15,4,4,1,1,0,5,5,3,1,1,4,6
10,16,3,3,1,3,1,4,1,2,1,1,2,0
13,16,2,2,1,2,1,3,1,2,1,1,5,6
19,15,4,2,1,1,0,3,5,2,1,1,3,10
9,15,2,1,1,2,0,5,4,2,1,1,5,8
16,16,4,4,1,2,0,5,4,4,1,2,5,2
14,15,4,4,2,2,0,4,4,3,1,1,2,2
13,16,3,3,2,1,0,5,4,2,1,1,5,0
8,17,1,3,3,2,1,5,2,4,1,4,5,20
13,15,3,4,1,1,0,3,4,3,1,2,4,6
15,15,1,2,1,2,0,3,2,3,1,2,1,2
15,15,2,2,1,4,0,5,5,4,1,2,5,6
13,16,2,4,2,2,0,4,2,2,1,2,5,2
13,16,4,4,1,1,0,3,4,4,1,4,5,18
8,16,2,2,1,2,0,5,4,4,1,1,5,0
12,15,3,4,1,1,0,5,5,5,3,2,5,0
11,15,3,4,1,2,0,5,3,2,1,1,1,0
9,19,0,1,1,2,3,3,4,2,1,1,5,2
0,18,2,2,1,1,2,3,3,3,1,2,4,0
18,16,4,4,1,1,0,3,5,5,2,5,4,8
0,15,3,4,2,3,2,4,2,2,2,2,5,0
0,15,1,1,3,1,0,4,3,3,1,2,4,0
12,17,2,2,1,1,0,3,4,4,1,3,5,12
11,16,3,4,1,1,0,3,2,1,1,4,5,16
0,15,3,4,4,2,0,5,3,3,1,1,5,0
0,15,4,4,1,3,0,4,3,3,1,1,5,0
0,17,3,4,3,2,0,5,4,5,2,4,5,0
0,16,3,3,2,1,2,4,3,2,1,1,5,0
12,16,1,1,1,2,1,4,4,4,1,3,5,0
15,15,4,4,2,1,0,4,3,2,1,1,5,0
0,15,4,3,2,4,0,2,2,2,1,1,3,0
9,16,2,2,2,1,2,2,3,3,2,2,2,8
11,15,4,4,1,3,0,4,2,2,1,1,5,2
13,16,1,1,1,1,0,3,4,4,3,3,1,2
0,17,2,1,1,1,3,5,4,5,1,2,5,0
11,15,1,1,1,2,0,4,4,2,1,2,5,0
0,15,3,2,1,2,3,3,3,2,1,1,3,0
11,15,1,2,1,2,0,4,3,2,1,1,5,2
0,16,4,4,1,1,0,3,3,2,2,1,5,0
10,15,2,1,4,1,3,4,5,5,2,5,5,0
0,18,1,1,1,1,3,2,3,5,2,5,4,0
14,16,2,1,1,1,1,4,4,4,3,5,5,6
10,15,3,3,2,3,2,4,2,1,2,3,3,8
0,19,3,2,1,1,3,4,5,4,1,1,4,0
12,17,4,4,1,1,0,4,2,1,1,1,4,0
8,15,2,3,1,2,0,4,4,4,1,1,1,2
13,17,1,2,1,1,0,2,2,2,3,3,5,8
10,18,1,1,3,1,3,5,2,5,1,5,4,6
15,16,2,2,3,1,0,4,2,2,1,2,3,2
12,16,3,3,1,2,1,4,5,5,4,4,5,4
0,17,2,1,2,1,2,3,3,2,2,2,5,0
7,15,3,2,2,2,2,4,4,4,1,4,3,6
0,16,1,2,2,1,1,4,4,4,2,4,5,0
10,17,1,3,1,1,0,5,3,3,1,4,2,2
7,17,1,1,4,2,3,5,3,5,1,5,5,0
12,16,3,2,2,1,1,4,5,2,1,1,2,16
10,16,2,2,1,2,0,4,3,5,2,4,4,4
16,16,4,2,1,2,0,4,2,3,1,1,3,0
0,16,2,2,1,2,0,5,1,5,1,1,4,0
14,16,4,4,1,2,0,4,4,2,1,1,3,0
0,16,3,4,3,1,2,3,4,5,2,4,2,0
16,16,1,0,2,2,0,4,3,2,1,1,3,2
10,17,4,4,1,2,0,4,4,4,1,3,5,0
0,16,1,3,1,2,3,4,3,5,1,1,3,0
9,16,3,3,2,2,0,4,4,5,1,1,4,4
9,17,4,3,2,2,0,4,4,4,4,4,4,4
11,16,2,2,2,2,0,3,4,4,1,4,5,2
6,17,3,3,1,2,0,4,3,4,1,4,4,4
9,16,4,2,1,1,0,4,3,3,3,4,3,10
11,17,4,3,1,2,0,5,2,3,1,1,2,4
8,16,4,3,1,2,0,3,4,3,2,3,3,10
12,16,3,3,1,2,0,4,2,3,1,2,3,2
17,17,2,4,1,2,0,5,4,2,2,3,5,0
8,17,3,3,1,2,0,5,3,3,2,3,1,56
12,16,3,2,1,2,0,1,2,2,1,2,1,14
11,17,3,3,1,2,0,4,3,4,2,3,4,12
11,16,1,2,1,1,0,3,3,3,1,2,3,2
15,16,2,1,1,2,0,4,2,3,1,2,5,0
9,17,3,3,1,2,0,3,3,3,1,3,3,6
10,17,1,2,1,2,0,3,1,3,1,5,3,4
13,16,2,3,1,2,0,4,3,3,1,1,2,10
9,17,1,1,1,2,0,5,3,3,1,1,3,0
8,17,1,2,2,2,0,4,4,4,4,5,5,12
10,16,3,3,1,1,0,4,3,2,3,4,5,8
14,16,2,3,2,1,0,5,3,3,1,1,3,0
15,17,2,4,1,2,0,4,3,2,1,1,5,0
16,17,4,4,1,1,0,5,2,3,1,2,5,4
10,16,3,3,3,1,0,3,3,4,3,5,3,8
18,17,4,4,2,1,1,4,2,4,2,3,2,24
10,16,4,4,1,2,0,4,5,2,1,2,3,0
16,16,4,3,1,2,0,4,3,5,1,5,2,2
10,16,2,3,1,2,0,4,4,3,1,3,4,6
10,17,1,1,1,2,0,4,4,4,1,3,1,4
6,17,2,2,1,1,0,5,3,2,1,2,3,18
11,16,2,2,2,4,0,5,3,5,1,1,5,6
9,17,3,4,1,3,1,4,4,3,3,4,5,28
7,16,3,1,1,2,3,2,3,3,2,2,4,5
13,16,4,3,1,2,0,1,3,2,1,1,1,10
10,16,1,1,2,1,0,4,3,2,1,4,5,6
7,17,4,3,2,3,0,4,4,2,1,1,4,6
8,19,3,3,1,4,0,4,3,3,1,2,3,10
13,17,4,4,1,2,0,5,3,5,4,5,3,13
14,16,2,2,1,2,0,3,3,4,1,1,4,0
8,18,2,2,1,2,1,4,4,4,2,4,5,15
10,17,4,4,1,1,0,5,2,1,1,2,3,12
15,17,3,2,2,2,0,4,4,4,1,3,1,2
4,17,4,3,1,2,2,3,4,5,2,4,1,22
8,18,3,3,1,2,1,3,2,4,2,4,4,13
8,17,2,3,2,1,0,3,3,3,1,4,3,3
10,17,2,2,1,3,0,4,3,3,1,1,4,4
6,17,2,1,2,2,0,4,2,5,1,2,5,2
0,17,1,1,1,3,1,4,3,4,1,1,5,0
17,16,2,3,1,2,0,2,3,1,1,1,3,2
13,18,2,2,2,2,0,3,3,3,5,5,4,0
14,16,4,4,1,3,0,5,3,2,1,1,5,0
7,18,3,1,1,2,1,5,3,3,1,1,4,16
15,17,3,2,1,2,0,5,3,4,1,3,3,10
12,17,2,3,1,2,0,5,3,3,1,3,3,2
9,18,2,1,4,2,0,4,3,2,4,5,3,14
12,17,2,1,2,3,0,3,2,3,1,2,3,10
14,17,4,3,1,2,0,3,2,3,1,2,3,14
11,17,2,2,2,2,0,4,5,2,1,1,1,4
9,17,4,4,1,2,0,4,5,5,1,3,2,14
13,16,4,4,1,2,0,4,2,4,2,4,1,2
6,16,1,1,2,2,0,3,4,2,1,1,5,18
10,16,3,2,2,3,0,5,3,3,1,3,2,10
13,17,2,2,1,2,0,4,4,2,5,5,4,4
12,16,2,1,1,1,0,4,5,2,1,1,5,20
11,17,2,1,3,2,0,2,1,1,1,1,3,2
0,18,2,2,1,2,1,5,5,4,3,5,2,0
12,17,4,3,2,2,0,2,5,5,1,4,5,14
12,17,4,4,2,2,0,3,3,3,2,3,4,2
0,16,4,3,1,1,0,5,4,5,1,1,3,0
12,16,4,4,1,1,0,5,3,2,1,2,5,0
0,18,2,1,2,3,0,4,4,4,1,1,3,0
18,16,2,1,3,1,0,4,3,3,1,1,4,6
13,17,2,3,2,1,0,5,2,2,1,1,2,4
8,22,3,1,1,1,3,5,4,5,5,5,1,16
5,18,3,3,1,2,1,4,3,3,1,3,5,8
15,16,0,2,1,1,0,4,3,2,2,4,5,0
8,18,3,2,2,1,1,4,4,5,2,4,5,0
10,16,3,3,3,2,0,5,3,3,1,3,2,6
8,18,2,1,1,1,1,3,2,5,2,5,5,4
8,16,2,1,2,1,0,3,3,2,1,3,3,0
12,17,2,1,1,1,0,4,4,2,2,4,5,0
8,17,1,1,2,1,1,4,4,4,1,2,5,2
13,17,4,2,1,4,0,4,2,3,1,1,4,6
11,19,4,3,1,2,0,4,3,1,1,1,1,12
14,18,2,1,1,2,0,5,2,4,1,2,4,8
0,17,2,2,1,4,0,3,4,1,1,1,2,0
18,18,4,3,1,2,0,3,1,2,1,3,2,21
8,18,4,3,1,2,0,4,3,2,1,1,3,2
12,18,3,2,1,3,0,5,3,2,1,1,3,1
9,17,3,3,1,3,0,3,2,3,1,1,4,4
0,18,2,2,1,3,0,4,3,3,1,1,3,0
17,18,3,4,2,2,0,4,2,5,3,4,1,13
10,17,3,1,1,2,0,5,4,4,3,4,5,2
11,18,4,4,2,2,0,4,3,4,2,2,4,8
10,18,4,2,1,2,0,5,4,5,1,3,5,10
0,18,2,1,2,2,0,4,3,5,1,2,3,0
9,19,3,3,1,2,2,4,3,5,3,3,5,15
14,18,2,3,1,4,0,4,5,5,1,3,2,4
11,18,1,1,2,2,0,4,4,3,1,1,3,2
14,17,1,2,1,2,0,3,5,2,2,2,1,2
10,17,2,4,2,2,0,4,3,3,1,1,1,2
12,17,2,2,2,2,0,4,4,4,2,3,5,6
9,18,3,2,2,2,0,4,1,1,1,1,5,75
9,18,4,4,2,1,0,3,2,4,1,4,3,22
8,18,4,4,1,2,1,2,4,4,1,1,4,15
10,18,4,3,2,1,0,4,2,3,1,2,1,8
8,17,4,1,2,1,0,4,5,4,2,4,5,30
10,17,3,2,1,1,1,4,4,4,3,4,3,19
12,18,1,1,2,4,0,5,2,2,1,1,3,1
10,18,1,1,2,2,0,5,4,4,1,1,4,4
11,17,2,2,1,2,0,5,4,5,1,2,5,4
11,17,1,1,1,2,0,4,3,3,1,2,4,2
19,18,2,2,1,3,0,4,3,3,1,2,2,5
12,17,1,1,1,3,0,4,3,3,1,1,3,6
14,18,2,1,1,3,0,4,2,4,1,3,2,6
15,18,4,4,1,2,0,5,4,3,1,1,2,9
11,18,4,2,1,2,0,4,3,2,1,4,5,11
15,17,4,3,1,3,0,4,2,2,1,2,3,0
13,18,2,1,1,2,1,5,4,3,1,1,5,12
18,17,3,1,2,4,0,3,1,2,1,1,3,6
14,18,3,2,2,3,0,5,4,2,1,1,4,8
11,17,3,3,1,1,0,4,4,3,1,3,5,4
0,19,4,4,2,2,0,2,3,4,2,3,2,0
8,18,4,3,2,2,0,4,4,5,1,2,2,10
14,18,4,3,1,4,0,4,3,3,1,1,3,0
16,18,4,4,1,1,0,1,4,2,2,2,1,5
11,18,4,4,1,2,0,4,2,4,1,1,4,14
10,17,4,4,2,1,0,4,1,1,2,2,5,0
14,17,4,2,2,3,0,4,3,3,1,1,3,0
18,17,3,2,1,4,0,5,2,2,1,2,5,0
13,19,3,3,1,2,1,4,4,4,1,1,3,20
12,18,2,4,1,2,1,4,4,3,1,1,3,8
18,20,3,2,1,1,0,5,5,3,1,1,5,0
8,19,4,4,2,1,1,4,3,4,1,1,4,38
12,19,3,3,1,2,1,4,5,3,1,2,5,0
10,19,1,1,1,2,1,4,4,3,1,3,3,18
0,19,1,2,1,2,1,4,2,4,2,2,3,0
13,19,2,1,3,2,0,3,4,1,1,1,2,20
11,19,1,2,1,2,1,4,5,2,2,2,4,3
11,19,3,2,2,2,1,4,2,2,1,2,1,22
13,19,1,1,1,3,2,4,1,2,1,1,3,14
11,19,2,3,1,3,1,4,1,2,1,1,3,40
0,18,2,1,2,2,0,5,3,3,1,2,1,0
9,18,4,3,1,3,0,4,3,4,1,1,5,9
10,17,3,4,1,3,0,4,3,4,2,5,5,0
11,18,4,4,1,2,0,4,4,4,3,3,5,2
13,17,4,3,1,2,0,5,2,2,1,2,5,23
9,17,2,2,1,2,0,4,2,2,1,1,3,12
11,17,2,2,1,3,0,3,3,2,2,2,3,3
15,17,3,1,1,3,0,3,4,3,2,3,5,1
15,17,0,2,2,3,0,3,3,3,2,3,2,0
11,18,4,4,1,3,0,4,3,3,2,2,3,3
16,17,3,3,1,1,0,4,3,5,3,5,5,3
10,17,2,2,4,1,0,4,4,5,5,5,4,8
9,17,4,4,1,3,0,5,4,4,1,3,4,7
14,17,4,4,2,3,0,4,3,3,1,2,4,4
8,18,2,2,1,4,0,4,5,5,2,4,5,2
14,17,2,4,1,3,0,4,4,3,1,1,5,7
0,18,3,3,1,2,0,5,3,4,1,1,4,0
0,18,2,2,1,2,0,4,3,3,1,1,2,0
0,18,2,2,2,4,0,4,4,4,1,1,4,0
15,17,3,4,1,3,0,4,4,5,1,3,5,16
13,19,3,1,1,3,1,5,4,3,1,2,5,12
0,17,3,2,1,2,0,4,3,2,2,3,2,0
17,18,3,3,1,4,0,5,3,3,1,1,1,7
10,17,3,2,1,2,0,4,3,3,2,3,2,4
11,19,2,1,1,3,1,4,3,4,1,3,3,4
0,18,4,4,1,2,1,4,3,3,2,2,2,0
15,18,3,4,1,2,0,4,3,3,1,3,5,11
0,17,2,2,1,2,1,3,3,1,1,2,4,0
10,18,2,3,1,3,0,4,3,3,1,2,3,4
14,18,3,2,1,3,0,5,4,3,2,3,1,7
16,18,4,3,1,3,0,5,3,2,1,2,4,9
9,18,4,3,1,3,0,5,4,5,2,3,5,0
15,17,4,3,1,3,0,4,4,3,1,3,4,0
13,18,3,2,2,1,1,2,5,5,5,5,5,10
8,19,1,1,3,2,3,5,4,4,3,3,2,8
13,17,3,3,2,2,0,4,5,4,2,3,3,2
8,18,1,3,1,1,1,4,3,3,2,3,3,7
8,19,1,1,3,1,1,4,4,4,3,3,5,4
11,17,4,3,2,2,0,4,5,5,1,3,2,4
9,18,3,3,1,2,0,5,3,4,1,1,5,0
13,17,4,4,2,2,0,4,3,3,1,2,5,4
11,17,3,2,2,2,0,1,2,3,1,2,5,2
10,18,1,1,2,1,0,3,3,2,1,2,3,4
16,18,1,1,2,3,0,5,3,2,1,1,4,0
13,18,1,4,3,2,0,4,3,4,1,4,5,0
12,18,1,1,2,2,1,4,4,3,2,3,5,2
10,18,3,3,2,2,0,4,3,2,1,3,3,0
15,17,4,4,1,2,0,2,3,4,1,1,1,0
12,17,1,2,2,2,0,3,2,2,1,2,3,0
10,18,1,3,2,2,0,3,3,4,2,4,3,4
13,18,4,4,2,3,0,4,2,2,2,2,5,0
0,17,1,1,3,1,1,5,2,1,1,2,1,0
10,18,2,3,2,1,0,5,2,3,1,2,4,0
11,18,4,4,3,2,0,3,2,2,4,2,5,10
9,19,3,2,2,2,2,3,2,2,1,1,3,4
12,18,1,2,3,1,0,4,3,3,2,3,3,3
11,17,2,2,1,3,0,3,4,3,1,1,3,8
5,17,1,2,1,1,0,3,5,5,1,3,1,14
19,18,4,4,2,3,0,5,4,4,1,1,1,0
10,18,1,1,4,3,0,4,3,2,1,2,4,2
15,20,4,2,2,3,2,5,4,3,1,1,3,4
10,18,4,4,1,2,0,5,4,3,3,4,2,4
15,18,3,3,1,2,0,4,1,3,1,2,1,0
10,17,3,1,1,2,0,4,5,4,2,3,1,17
14,18,4,4,1,2,0,3,2,4,1,4,2,4
7,18,2,1,2,1,0,4,4,3,1,3,5,5
10,17,2,3,2,2,0,4,4,3,1,1,3,2
0,19,1,1,2,1,1,4,3,2,1,3,5,0
5,18,4,2,2,1,1,5,4,3,4,3,3,14
10,18,2,2,2,3,0,5,3,3,1,3,4,2
6,18,4,4,3,1,0,4,4,3,2,2,5,7
0,19,2,3,1,3,1,5,4,2,1,2,5,0
8,18,3,1,1,2,0,4,3,4,1,1,1,0
0,18,1,1,2,2,1,1,1,1,1,1,5,0
9,20,2,2,1,2,2,5,5,4,4,5,4,11
16,17,3,1,2,1,0,2,4,5,3,4,2,3
7,21,1,1,1,1,3,5,5,3,3,3,3,3
10,18,3,2,3,1,0,4,4,1,3,4,5,0
9,19,1,1,1,1,0,3,2,3,3,3,5,5
data/FL/wisconsin_guest.data 0 → 100644
浏览文件 @ e4d8a5ee
Clump Thickness,Uniformity of Cell Size
5,1
5,4
3,1
6,8
4,1
8,10
1,1
2,1
2,1
4,2
1,1
2,1
5,3
1,1
8,7
7,4
4,1
4,1
10,7
6,1
7,3
10,5
3,1
8,4
1,1
5,2
3,2
5,1
2,1
1,1
3,1
2,1
10,7
2,1
3,1
2,1
10,10
6,2
5,4
2,5
6,6
10,4
6,10
5,6
10,10
1,1
3,7
1,1
4,1
7,8
9,5
5,3
10,3
5,5
10,5
10,6
8,10
8,2
5,2
9,5
5,3
1,1
9,10
6,3
1,1
10,4
4,1
5,3
8,3
1,1
5,1
6,10
1,3
9,4
10,6
1,1
1,1
5,3
3,1
2,1
2,2
4,1
5,2
3,1
3,5
5,10
3,3
3,6
4,1
2,1
1,1
3,1
4,1
1,1
2,1
1,1
2,1
5,1
9,6
7,5
10,3
2,3
4,1
8,2
10,10
7,3
10,10
1,6
1,1
6,5
1,3
8,6
10,3
10,10
3,3
1,1
8,3
4,5
1,1
3,2
1,1
4,2
10,10
5,3
5,4
1,1
7,5
3,1
8,3
1,1
5,1
2,1
5,10
3,1
3,1
5,1
4,1
3,1
4,1
1,1
3,1
2,1
9,5
1,1
2,1
1,1
3,4
1,1
3,1
8,8
1,1
7,2
10,10
4,1
1,1
5,5
1,2
2,1
1,1
9,9
10,7
4,1
3,1
1,1
5,1
4,1
5,6
10,8
3,1
1,1
3,1
1,1
1,1
6,10
8,6
5,8
2,1
5,10
4,1
5,3
1,1
1,1
6,1
5,8
8,7
2,1
1,5
10,5
5,8
1,2
10,10
7,5
5,1
1,1
3,1
4,1
8,4
5,1
1,1
3,1
9,7
10,8
1,1
5,1
1,1
5,10
10,10
1,1
1,1
5,1
8,10
8,10
1,1
10,10
10,10
8,7
1,1
1,1
6,10
6,1
1,1
10,6
4,1
7,5
10,5
1,1
10,5
8,9
1,1
10,10
7,4
6,8
8,4
10,4
3,3
3,1
10,8
9,8
8,10
10,4
5,1
3,1
2,1
1,1
1,1
5,1
8,10
8,4
4,1
3,1
1,2
10,4
6,3
6,10
9,10
5,6
3,1
3,1
3,1
5,7
10,5
5,10
8,8
10,4
7,9
5,1
10,10
3,3
10,8
1,1
8,4
5,1
3,3
7,2
3,1
3,1
3,1
1,1
1,1
10,5
3,1
2,1
1,4
10,4
7,4
8,10
10,10
3,1
6,1
5,6
1,1
1,1
8,8
10,4
1,1
5,5
5,3
5,4
8,2
9,1
8,4
1,1
10,10
1,1
8,3
10,8
1,1
1,1
7,8
3,1
2,1
1,1
8,6
1,1
1,1
4,6
5,5
6,8
1,1
4,4
7,6
3,1
3,1
5,4
1,1
3,2
10,1
1,1
8,10
10,4
10,4
5,1
5,2
5,4
8,6
1,1
6,5
1,1
1,1
8,5
10,3
1,1
2,1
1,1
7,6
1,1
5,2
1,1
3,4
4,2
5,1
2,1
3,4
2,7
1,1
4,1
5,3
8,10
8,10
10,3
6,10
3,10
3,2
4,4
2,1
2,1
6,10
5,8
1,1
1,1
4,3
1,1
4,1
5,1
3,1
1,1
1,1
1,1
3,1
5,3
1,1
10,6
3,2
2,1
2,1
3,3
7,6
5,3
2,1
5,1
1,1
10,8
3,1
1,1
1,2
3,1
3,1
4,1
3,2
1,2
3,10
3,1
5,3
3,1
1,2
1,1
4,2
1,1
2,3
3,1
1,1
1,1
10,10
5,1
8,5
3,3
8,7
1,1
5,2
2,3
3,2
10,10
4,3
5,1
3,1
9,10
5,3
8,7
1,1
2,1
1,3
5,1
5,1
3,2
6,9
10,8
10,10
4,1
4,1
5,1
10,4
5,2
1,1
1,1
5,1
2,1
1,1
5,1
1,1
5,7
4,1
5,1
3,1
4,5
2,3
10,2
10,6
8,8
5,1
5,1
5,1
3,1
6,1
4,1
4,1
10,9
10,6
6,6
4,1
1,1
3,1
6,1
6,1
4,1
5,1
3,1
4,1
4,1
5,2
4,8
5,1
5,3
9,10
8,7
5,1
1,1
3,1
10,10
3,6
6,3
1,1
5,8
4,1
5,10
5,1
3,1
1,1
4,2
4,1
4,1
6,1
4,1
4,1
4,1
1,1
3,3
8,10
1,1
5,1
2,1
1,1
5,1
5,1
3,1
6,6
4,10
1,1
1,1
3,1
4,7
1,1
4,1
10,4
7,5
3,1
3,1
4,1
4,1
6,1
4,1
7,4
4,2
1,1
3,1
2,1
1,1
5,1
5,1
4,1
6,1
5,1
3,1
5,3
4,1
2,1
5,1
6,10
2,1
3,1
7,8
3,1
1,1
3,2
4,4
3,1
4,3
5,2
5,1
2,1
5,1
5,1
5,1
1,1
3,1
4,1
5,7
3,1
4,1
8,4
10,10
8,10
7,6
3,1
1,1
10,9
5,1
5,1
1,1
1,1
1,1
5,1
5,7
6,10
3,1
5,1
1,1
8,10
5,1
9,8
5,1
4,10
2,5
10,3
5,1
4,8
5,1
4,1
5,1
3,1
5,2
3,1
1,1
4,1
5,4
5,3
10,5
4,1
1,1
5,10
5,1
10,4
5,10
8,10
2,3
2,1
4,1
3,1
1,1
4,1
5,1
3,1
6,3
7,1
1,1
5,1
3,1
4,6
2,1
2,1
4,1
6,2
5,1
1,1
8,7
3,1
3,1
10,10
4,2
4,1
5,1
4,1
3,1
3,1
1,1
2,1
3,1
1,2
1,1
data/FL/wisconsin_host.data 0 → 100644
浏览文件 @ e4d8a5ee
Sample code number,Uniformity of Cell Shape,Marginal Adhesion,Single Epithelial Cell Size,Bare Nuclei,Bland Chromatin,Normal Nucleoli,Mitoses,Class
1000025,1,1,2,1,3,1,1,2
1002945,4,5,7,10,3,2,1,2
1015425,1,1,2,2,3,1,1,2
1016277,8,1,3,4,3,7,1,2
1017023,1,3,2,1,3,1,1,2
1017122,10,8,7,10,9,7,1,4
1018099,1,1,2,10,3,1,1,2
1018561,2,1,2,1,3,1,1,2
1033078,1,1,2,1,1,1,5,2
1033078,1,1,2,1,2,1,1,2
1035283,1,1,1,1,3,1,1,2
1036172,1,1,2,1,2,1,1,2
1041801,3,3,2,3,4,4,1,4
1043999,1,1,2,3,3,1,1,2
1044572,5,10,7,9,5,5,4,4
1047630,6,4,6,1,4,3,1,4
1048672,1,1,2,1,2,1,1,2
1049815,1,1,2,1,3,1,1,2
1050670,7,6,4,10,4,1,2,4
1050718,1,1,2,1,3,1,1,2
1054590,2,10,5,10,5,4,4,4
1054593,5,3,6,7,7,10,1,4
1056784,1,1,2,1,2,1,1,2
1057013,5,1,2,1,7,3,1,4
1059552,1,1,2,1,3,1,1,2
1065726,3,4,2,7,3,6,1,4
1066373,1,1,1,1,2,1,1,2
1066979,1,1,2,1,2,1,1,2
1067444,1,1,2,1,2,1,1,2
1070935,3,1,2,1,1,1,1,2
1070935,1,1,1,1,2,1,1,2
1071760,1,1,2,1,3,1,1,2
1072179,7,3,8,5,7,4,3,4
1074610,1,2,2,1,3,1,1,2
1075123,2,1,2,1,2,1,1,2
1079304,1,1,2,1,2,1,1,2
1080185,10,8,6,1,8,9,1,4
1081791,1,1,1,1,7,1,1,2
1084584,4,9,2,10,5,6,1,4
1091262,3,3,6,7,7,5,1,4
1096800,6,9,6,1,7,8,1,2
1099510,3,1,3,3,6,5,2,4
1100524,10,2,8,10,7,3,3,4
1102573,5,6,10,1,3,1,1,4
1103608,10,4,8,1,8,10,1,4
1103722,1,1,2,1,2,1,2,2
1105257,7,4,4,9,4,8,1,4
1105524,1,1,2,1,2,1,1,2
1106095,1,3,2,1,3,1,1,2
1106829,7,2,4,8,3,8,2,4
1108370,8,1,2,3,2,1,5,4
1108449,3,4,2,4,3,4,1,4
1110102,6,2,3,5,4,10,2,4
1110503,5,8,10,8,7,3,7,4
1110524,5,6,8,8,7,1,1,4
1111249,6,3,4,5,3,6,1,4
1112209,10,1,3,6,3,9,1,4
1113038,4,1,5,1,5,4,4,4
1113483,3,1,6,10,5,1,1,4
1113906,5,2,2,2,5,1,1,4
1115282,5,5,3,3,4,10,1,4
1115293,1,1,2,2,2,1,1,2
1116116,10,1,10,8,3,3,1,4
1116132,4,1,5,2,3,9,1,4
1116192,1,1,2,1,2,1,1,2
1116998,2,1,3,2,4,3,10,4
1117152,1,1,2,1,3,1,1,2
1118039,4,1,8,10,4,9,1,4
1120559,8,3,4,9,8,9,8,4
1121732,1,1,2,1,3,2,1,2
1121919,3,1,2,1,2,1,1,2
1123061,2,8,10,2,7,8,10,4
1124651,3,2,2,1,7,2,1,2
1125035,5,10,6,10,4,8,1,4
1126417,4,1,3,4,3,2,3,4
1131294,2,1,2,2,4,2,1,2
1132347,4,1,2,1,2,1,1,2
1133041,1,2,2,1,2,1,1,2
1133136,1,1,2,3,3,1,1,2
1136142,1,1,3,1,2,1,1,2
1137156,2,1,1,1,7,1,1,2
1143978,1,2,2,1,2,1,1,2
1143978,1,1,2,1,3,1,1,2
1147044,1,1,2,2,7,1,1,2
1147699,7,8,8,9,7,10,7,4
1147748,6,1,10,4,4,10,10,4
1148278,6,4,5,8,4,4,1,4
1148873,6,6,5,10,6,8,3,4
1152331,1,1,2,1,3,1,1,2
1155546,1,2,3,1,2,1,1,2
1156272,1,1,2,1,3,1,1,2
1156948,1,2,2,1,1,1,1,2
1157734,1,1,2,1,3,1,1,2
1158247,1,1,2,1,2,1,1,2
1160476,1,1,2,1,3,1,1,2
1164066,1,1,2,1,3,1,1,2
1165297,1,2,2,1,1,1,1,2
1165790,1,1,2,1,3,1,1,2
1165926,9,2,10,6,2,9,10,4
1166630,6,10,5,10,7,9,4,4
1166654,5,1,10,5,3,10,2,4
1167439,4,4,2,5,2,5,1,4
1167471,2,1,2,1,3,1,1,2
1168359,3,1,6,3,7,1,1,4
1168736,10,10,10,1,8,8,8,4
1169049,4,4,3,3,3,2,7,4
1170419,10,8,2,10,4,1,1,4
1170420,8,10,8,10,5,7,1,4
1171710,1,1,2,1,2,3,1,2
1171710,4,4,3,9,7,8,3,4
1171795,1,2,2,2,5,3,2,2
1171845,4,3,5,9,3,1,1,4
1172152,3,10,2,10,7,3,3,4
1173216,10,3,10,8,8,1,1,4
1173235,2,1,2,3,3,1,1,2
1173347,1,1,2,5,1,1,1,2
1173347,3,1,2,2,3,2,1,2
1173509,5,10,4,10,7,5,8,4
1173514,1,1,4,3,1,1,1,2
1173681,1,1,2,2,3,1,1,2
1174057,2,2,2,1,3,1,1,2
1174057,1,1,2,2,3,1,1,2
1174131,10,2,10,10,5,3,3,4
1174428,5,1,8,10,5,3,1,4
1175937,6,7,9,7,8,10,1,4
1176406,1,1,2,1,2,1,1,2
1176881,3,7,4,10,7,5,5,4
1177027,1,1,2,1,3,1,1,2
1177399,5,4,5,10,1,6,2,4
1177512,1,1,10,1,1,1,1,2
1178580,3,1,2,1,2,1,1,2
1179818,1,1,2,1,3,1,1,2
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412300,5,4,3,5,7,3,1,4
672113,6,10,4,10,5,3,1,4
749653,1,1,2,1,2,1,1,2
769612,1,2,2,1,1,1,1,2
769612,1,1,2,1,1,1,1,2
798429,1,1,2,1,3,1,1,2
807657,3,2,2,1,1,1,1,2
8233704,1,1,1,1,2,1,1,2
837480,4,3,4,10,6,9,1,4
867392,2,1,2,1,2,1,1,2
869828,1,1,1,1,3,1,1,2
1043068,1,1,2,1,2,1,1,2
1056171,1,1,2,1,2,1,1,2
1061990,3,2,2,1,3,1,1,2
1113061,1,1,2,1,3,1,1,2
1116192,2,1,2,1,3,1,1,2
1135090,1,1,2,1,2,1,1,2
1145420,1,1,2,1,2,1,1,2
1158157,1,1,2,2,2,1,1,2
1171578,1,1,2,1,1,1,1,2
1174841,1,1,2,1,1,1,1,2
1184586,1,1,2,1,2,1,1,2
1186936,3,2,2,1,2,1,1,2
1197527,1,1,2,1,2,1,1,2
1222464,10,10,4,10,7,10,1,4
1240603,1,1,1,1,1,1,1,2
1240603,1,1,1,1,1,1,1,2
1241035,3,7,4,5,7,8,2,4
1287971,1,1,2,1,2,1,1,2
1289391,1,1,2,1,3,1,1,2
1299924,2,2,2,1,4,2,1,2
1306339,2,1,2,5,2,1,2,2
1313658,1,1,2,1,1,1,1,2
1313982,1,1,2,1,4,8,1,2
1321264,2,2,1,1,2,1,1,2
1321321,1,3,2,1,1,1,1,2
1321348,1,1,2,1,2,1,1,2
1321931,1,1,2,1,2,1,1,2
1321942,1,1,2,1,3,1,1,2
1321942,1,1,2,1,3,1,1,2
1328331,1,1,2,1,3,1,1,2
1328755,1,1,2,1,2,1,1,2
1331405,1,1,2,1,3,2,1,2
1331412,10,10,5,10,10,10,1,4
1333104,2,1,2,1,3,1,1,2
1334071,1,1,2,3,2,1,1,2
1343068,4,1,6,10,2,5,2,4
1343374,8,10,6,5,10,3,1,4
1344121,4,4,8,10,8,2,1,4
142932,10,5,3,10,9,10,2,4
183936,1,1,2,1,2,1,1,2
324382,1,1,2,1,2,1,1,2
378275,7,3,4,2,7,7,1,4
385103,2,1,2,1,3,1,1,2
690557,1,1,2,1,2,1,1,2
695091,1,1,2,1,2,1,1,2
695219,1,1,2,1,2,1,1,2
824249,1,1,2,1,3,1,1,2
871549,2,1,2,1,2,1,1,2
878358,10,6,5,10,7,5,1,4
1107684,5,5,4,10,6,10,1,4
1115762,1,1,2,1,1,1,1,2
1217717,1,6,3,1,1,1,1,2
1239420,1,1,2,1,1,1,1,2
1254538,10,10,6,10,10,10,1,4
1261751,1,1,2,1,2,2,1,2
1268275,8,9,6,3,4,1,1,4
1272166,1,1,2,1,1,1,1,2
1294261,8,5,4,1,10,1,1,4
1295529,7,6,4,10,7,6,1,4
1298484,4,5,3,10,4,1,1,4
1311875,2,1,2,1,1,1,1,2
1315506,6,3,4,10,7,1,1,4
1320141,1,1,2,1,2,1,1,2
1325309,2,1,2,1,2,1,1,2
1333063,3,1,2,1,3,1,1,2
1333495,1,1,2,1,2,1,1,2
1334659,4,1,1,1,1,1,1,2
1336798,1,1,2,1,2,1,1,2
1344449,1,1,1,1,2,1,1,2
1350568,1,1,2,1,2,1,1,2
1352663,6,8,4,1,8,10,1,4
188336,2,8,5,10,8,1,2,4
352431,10,3,5,8,7,8,3,4
353098,1,2,2,1,1,1,1,2
411453,1,1,2,1,1,1,1,2
557583,10,10,10,10,10,1,1,4
636375,1,1,2,1,1,1,1,2
736150,3,10,3,10,7,1,2,4
803531,10,10,5,2,8,5,1,4
822829,10,10,6,10,10,10,10,4
1016634,1,1,2,1,2,1,1,2
1031608,1,1,1,1,2,1,1,2
1041043,3,1,2,1,2,1,1,2
1042252,1,1,2,1,2,1,1,2
1057067,1,1,1,1,1,1,1,2
1061990,1,1,2,1,2,1,1,2
1073836,1,1,2,1,2,1,1,2
1083817,1,1,2,1,2,1,1,2
1096352,3,3,3,2,6,1,1,2
1140597,2,3,2,1,2,1,1,2
1149548,1,1,2,1,1,1,1,2
1174009,1,2,1,1,2,1,1,2
1183596,3,1,3,4,1,1,1,2
1190386,6,5,7,6,7,7,3,4
1190546,1,1,2,5,1,1,1,2
1213273,1,1,2,1,1,1,1,2
1218982,1,1,2,1,1,1,1,2
1225382,3,1,2,1,1,1,1,2
1235807,1,1,2,1,2,1,1,2
1238777,1,1,2,1,1,1,1,2
1253955,4,4,5,3,5,10,1,4
1257366,1,1,2,1,1,1,1,2
1260659,4,1,2,1,1,1,1,2
1268952,7,8,7,1,10,10,3,4
1275807,4,3,2,2,2,1,1,2
1277792,1,1,2,1,1,1,1,2
1277792,1,3,2,1,1,1,1,2
1285722,1,3,2,1,1,1,1,2
1288608,1,1,2,1,2,1,1,2
1290203,1,1,2,1,2,1,1,2
1294413,1,1,2,1,1,1,1,2
1299596,1,1,2,1,1,1,1,2
1303489,1,1,2,1,2,1,1,2
1311033,2,1,2,1,1,1,1,2
1311108,1,3,2,1,1,1,1,2
data/FL/wisconsin_test.data 0 → 100644
浏览文件 @ e4d8a5ee
Sample code number,Clump Thickness,Uniformity of Cell Size,Uniformity of Cell Shape,Marginal Adhesion,Single Epithelial Cell Size,Bare Nuclei,Bland Chromatin,Normal Nucleoli,Mitoses,Class
1315807,5,10,10,10,10,2,10,10,10,4
1318671,3,1,1,1,2,1,2,1,1,2
1319609,3,1,1,2,3,4,1,1,1,2
1323477,1,2,1,3,2,1,2,1,1,2
1324572,5,1,1,1,2,1,2,2,1,2
1324681,4,1,1,1,2,1,2,1,1,2
1325159,3,1,1,1,2,1,3,1,1,2
1326892,3,1,1,1,2,1,2,1,1,2
1330361,5,1,1,1,2,1,2,1,1,2
1333877,5,4,5,1,8,1,3,6,1,2
1334015,7,8,8,7,3,10,7,2,3,4
1334667,1,1,1,1,2,1,1,1,1,2
1339781,1,1,1,1,2,1,2,1,1,2
1339781,4,1,1,1,2,1,3,1,1,2
13454352,1,1,3,1,2,1,2,1,1,2
1345452,1,1,3,1,2,1,2,1,1,2
1345593,3,1,1,3,2,1,2,1,1,2
1347749,1,1,1,1,2,1,1,1,1,2
1347943,5,2,2,2,2,1,1,1,2,2
1348851,3,1,1,1,2,1,3,1,1,2
1350319,5,7,4,1,6,1,7,10,3,4
1350423,5,10,10,8,5,5,7,10,1,4
1352848,3,10,7,8,5,8,7,4,1,4
1353092,3,2,1,2,2,1,3,1,1,2
1354840,2,1,1,1,2,1,3,1,1,2
1354840,5,3,2,1,3,1,1,1,1,2
1355260,1,1,1,1,2,1,2,1,1,2
1365075,4,1,4,1,2,1,1,1,1,2
1365328,1,1,2,1,2,1,2,1,1,2
1368267,5,1,1,1,2,1,1,1,1,2
1368273,1,1,1,1,2,1,1,1,1,2
1368882,2,1,1,1,2,1,1,1,1,2
1369821,10,10,10,10,5,10,10,10,7,4
1371026,5,10,10,10,4,10,5,6,3,4
1371920,5,1,1,1,2,1,3,2,1,2
466906,1,1,1,1,2,1,1,1,1,2
466906,1,1,1,1,2,1,1,1,1,2
534555,1,1,1,1,2,1,1,1,1,2
536708,1,1,1,1,2,1,1,1,1,2
566346,3,1,1,1,2,1,2,3,1,2
603148,4,1,1,1,2,1,1,1,1,2
654546,1,1,1,1,2,1,1,1,8,2
654546,1,1,1,3,2,1,1,1,1,2
695091,5,10,10,5,4,5,4,4,1,4
714039,3,1,1,1,2,1,1,1,1,2
763235,3,1,1,1,2,1,2,1,2,2
776715,3,1,1,1,3,2,1,1,1,2
841769,2,1,1,1,2,1,1,1,1,2
888820,5,10,10,3,7,3,8,10,2,4
897471,4,8,6,4,3,4,10,6,1,4
897471,4,8,8,5,4,5,10,4,1,4
data/test_party_0.csv
浏览文件 @ e4d8a5ee
x_0,x_1,x_2,x_3,x_4,x_5,x_6,x_7,x_8,x_9,x_10,y 5.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
6.8,0.915,0.29,4.8,0.07,15.0,39.0,0.99577,3.53,0.54,11.1,0 5.0,4.0,4.0,5.0,7.0,10.0,3.0,2.0,1.0,0
7.1,0.67,0.0,2.3,0.083,18.0,27.0,0.9976799999999999,3.44,0.54,9.4,0 3.0,1.0,1.0,1.0,2.0,2.0,3.0,1.0,1.0,0
8.2,0.34,0.38,2.5,0.08,12.0,57.0,0.9978,3.3,0.47,9.0,1 6.0,8.0,8.0,1.0,3.0,4.0,3.0,7.0,1.0,0
7.4,0.35,0.33,2.4,0.068,9.0,26.0,0.9947,3.36,0.6,11.9,1 4.0,1.0,1.0,3.0,2.0,1.0,3.0,1.0,1.0,0
12.2,0.45,0.49,1.4,0.075,3.0,6.0,0.9969,3.13,0.63,10.4,0 8.0,10.0,10.0,8.0,7.0,10.0,9.0,7.0,1.0,1
10.7,0.43,0.39,2.2,0.106,8.0,32.0,0.9986,2.89,0.5,9.6,0 1.0,1.0,1.0,1.0,2.0,10.0,3.0,1.0,1.0,0
9.0,0.66,0.17,3.0,0.077,5.0,13.0,0.9976,3.29,0.55,10.4,0 2.0,1.0,2.0,1.0,2.0,1.0,3.0,1.0,1.0,0
7.6,0.715,0.0,2.1,0.068,30.0,35.0,0.9953299999999999,3.48,0.65,11.4,1 2.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,5.0,0
7.1,0.43,0.17,1.8,0.08199999999999999,27.0,51.0,0.99634,3.49,0.64,10.4,0 4.0,2.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
8.8,0.59,0.18,2.9,0.08900000000000001,12.0,74.0,0.9973799999999999,3.14,0.54,9.4,0 1.0,1.0,1.0,1.0,1.0,1.0,3.0,1.0,1.0,0
9.9,0.57,0.25,2.0,0.10400000000000001,12.0,89.0,0.9963,3.04,0.9,10.1,0 2.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
6.6,0.5,0.01,1.5,0.06,17.0,26.0,0.9952,3.4,0.58,9.8,1 5.0,3.0,3.0,3.0,2.0,3.0,4.0,4.0,1.0,1
8.4,0.36,0.32,2.2,0.081,32.0,79.0,0.9964,3.3,0.72,11.0,1 1.0,1.0,1.0,1.0,2.0,3.0,3.0,1.0,1.0,0
8.6,0.8,0.11,2.3,0.084,12.0,31.0,0.9979,3.4,0.48,9.9,0 8.0,7.0,5.0,10.0,7.0,9.0,5.0,5.0,4.0,1
7.8,0.56,0.19,2.0,0.081,17.0,108.0,0.9962,3.32,0.54,9.5,0 7.0,4.0,6.0,4.0,6.0,1.0,4.0,3.0,1.0,1
7.6,0.43,0.29,2.1,0.075,19.0,66.0,0.99718,3.4,0.64,9.5,0 4.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
6.8,0.81,0.05,2.0,0.07,6.0,14.0,0.9956200000000001,3.51,0.66,10.8,1 4.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
11.1,0.35,0.48,3.1,0.09,5.0,21.0,0.9986,3.17,0.53,10.5,0 10.0,7.0,7.0,6.0,4.0,10.0,4.0,1.0,2.0,1
7.9,0.54,0.34,2.5,0.076,8.0,17.0,0.99235,3.2,0.72,13.1,1 6.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
12.6,0.31,0.72,2.2,0.07200000000000001,6.0,29.0,0.9987,2.88,0.82,9.8,1 7.0,3.0,2.0,10.0,5.0,10.0,5.0,4.0,4.0,1
8.9,0.4,0.32,5.6,0.087,10.0,47.0,0.9991,3.38,0.77,10.5,1 10.0,5.0,5.0,3.0,6.0,7.0,7.0,10.0,1.0,1
7.6,0.51,0.24,2.4,0.091,8.0,38.0,0.998,3.47,0.66,9.6,1 3.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
8.3,0.58,0.13,2.9,0.096,14.0,63.0,0.9984,3.17,0.62,9.1,1 8.0,4.0,5.0,1.0,2.0,1.0,7.0,3.0,1.0,1
7.7,0.58,0.1,1.8,0.102,28.0,109.0,0.99565,3.08,0.49,9.8,1 1.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
7.7,0.965,0.1,2.1,0.11199999999999999,11.0,22.0,0.9963,3.26,0.5,9.5,0 5.0,2.0,3.0,4.0,2.0,7.0,3.0,6.0,1.0,1
7.9,0.72,0.01,1.9,0.076,7.0,32.0,0.9966799999999999,3.39,0.54,9.6,0 3.0,2.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0
8.1,0.825,0.24,2.1,0.084,5.0,13.0,0.9972,3.37,0.77,10.7,1 5.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
5.6,0.54,0.04,1.7,0.049,5.0,13.0,0.9942,3.72,0.58,11.4,0 2.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
6.9,0.54,0.04,3.0,0.077,7.0,27.0,0.9987,3.69,0.91,9.4,1 1.0,1.0,3.0,1.0,2.0,1.0,1.0,1.0,1.0,0
10.0,0.49,0.2,11.0,0.071,13.0,50.0,1.0015,3.16,0.69,9.2,1 3.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0
9.8,0.5,0.49,2.6,0.25,5.0,20.0,0.9990000000000001,3.31,0.79,10.7,1 2.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
8.1,0.56,0.28,1.7,0.368,16.0,56.0,0.9968,3.11,1.28,9.3,0 10.0,7.0,7.0,3.0,8.0,5.0,7.0,4.0,3.0,1
6.7,0.46,0.24,1.7,0.077,18.0,34.0,0.9948,3.39,0.6,10.6,1 2.0,1.0,1.0,2.0,2.0,1.0,3.0,1.0,1.0,0
6.6,0.895,0.04,2.3,0.068,7.0,13.0,0.99582,3.53,0.58,10.8,1 3.0,1.0,2.0,1.0,2.0,1.0,2.0,1.0,1.0,0
9.9,0.32,0.56,2.0,0.073,3.0,8.0,0.99534,3.15,0.73,11.4,1 2.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
6.8,0.65,0.02,2.1,0.078,8.0,15.0,0.99498,3.35,0.62,10.4,1 10.0,10.0,10.0,8.0,6.0,1.0,8.0,9.0,1.0,1
8.8,0.61,0.14,2.4,0.067,10.0,42.0,0.9969,3.19,0.59,9.5,0 6.0,2.0,1.0,1.0,1.0,1.0,7.0,1.0,1.0,0
6.7,0.54,0.13,2.0,0.076,15.0,36.0,0.9973,3.61,0.64,9.8,0 5.0,4.0,4.0,9.0,2.0,10.0,5.0,6.0,1.0,1
6.9,0.45,0.11,2.4,0.043,6.0,12.0,0.99354,3.3,0.65,11.4,1 2.0,5.0,3.0,3.0,6.0,7.0,7.0,5.0,1.0,1
8.5,0.47,0.27,1.9,0.057999999999999996,18.0,38.0,0.99518,3.16,0.85,11.1,1 5.0,3.0,5.0,5.0,3.0,3.0,4.0,10.0,1.0,1
8.6,0.635,0.68,1.8,0.40299999999999997,19.0,56.0,0.9963200000000001,3.02,1.15,9.3,0 \ No newline at end of file
7.1,0.755,0.15,1.8,0.107,20.0,84.0,0.99593,3.19,0.5,9.5,0
9.1,0.25,0.34,2.0,0.071,45.0,67.0,0.99769,3.44,0.86,10.2,1
8.2,0.57,0.26,2.2,0.06,28.0,65.0,0.9959,3.3,0.43,10.1,0
7.7,0.67,0.23,2.1,0.08800000000000001,17.0,96.0,0.9962,3.32,0.48,9.5,0
7.2,0.38,0.31,2.0,0.055999999999999994,15.0,29.0,0.99472,3.23,0.76,11.3,1
10.0,0.58,0.22,1.9,0.08,9.0,32.0,0.9974,3.13,0.55,9.5,0
6.5,0.615,0.0,1.9,0.065,9.0,18.0,0.9972,3.46,0.65,9.2,0
10.4,0.28,0.54,2.7,0.105,5.0,19.0,0.9988,3.25,0.63,9.5,0
8.3,0.31,0.39,2.4,0.078,17.0,43.0,0.99444,3.31,0.77,12.5,1
6.5,0.52,0.11,1.8,0.073,13.0,38.0,0.9955,3.34,0.52,9.3,0
7.2,0.65,0.02,2.3,0.094,5.0,31.0,0.9993,3.67,0.8,9.7,0
10.8,0.32,0.44,1.6,0.063,16.0,37.0,0.9985,3.22,0.78,10.0,1
8.9,0.43,0.45,1.9,0.052000000000000005,6.0,16.0,0.9948,3.35,0.7,12.5,1
6.6,0.52,0.08,2.4,0.07,13.0,26.0,0.9935799999999999,3.4,0.72,12.5,1
9.4,0.685,0.26,2.4,0.08199999999999999,23.0,143.0,0.9978,3.28,0.55,9.4,0
6.8,0.41,0.31,8.8,0.084,26.0,45.0,0.99824,3.38,0.64,10.1,1
6.7,0.76,0.02,1.8,0.078,6.0,12.0,0.996,3.55,0.63,9.95,0
5.3,0.57,0.01,1.7,0.054000000000000006,5.0,27.0,0.9934,3.57,0.84,12.5,1
11.9,0.37,0.69,2.3,0.078,12.0,24.0,0.9958,3.0,0.65,12.8,1
8.6,0.33,0.4,2.6,0.083,16.0,68.0,0.99782,3.3,0.48,9.4,0
8.0,0.28,0.44,1.8,0.081,28.0,68.0,0.9950100000000001,3.36,0.66,11.2,0
7.2,0.34,0.32,2.5,0.09,43.0,113.0,0.9966,3.32,0.79,11.1,0
7.4,0.66,0.0,1.8,0.075,13.0,40.0,0.9978,3.51,0.56,9.4,0
9.1,0.34,0.42,1.8,0.057999999999999996,9.0,18.0,0.99392,3.18,0.55,11.4,0
6.1,0.64,0.02,2.4,0.069,26.0,46.0,0.9935799999999999,3.47,0.45,11.0,0
8.1,1.33,0.0,1.8,0.08199999999999999,3.0,12.0,0.9964,3.54,0.48,10.9,0
12.7,0.59,0.45,2.3,0.08199999999999999,11.0,22.0,1.0,3.0,0.7,9.3,1
11.2,0.66,0.24,2.5,0.085,16.0,53.0,0.9993,3.06,0.72,11.0,1
8.7,0.63,0.28,2.7,0.096,17.0,69.0,0.99734,3.26,0.63,10.2,1
7.8,0.34,0.37,2.0,0.08199999999999999,24.0,58.0,0.9964,3.34,0.59,9.4,1
7.0,0.69,0.07,2.5,0.091,15.0,21.0,0.99572,3.38,0.6,11.3,1
11.5,0.45,0.5,3.0,0.078,19.0,47.0,1.0003,3.26,1.11,11.0,1
9.2,0.755,0.18,2.2,0.14800000000000002,10.0,103.0,0.9969,2.87,1.36,10.2,1
7.6,0.31,0.34,2.5,0.08199999999999999,26.0,35.0,0.99356,3.22,0.59,12.5,1
8.5,0.34,0.4,4.7,0.055,3.0,9.0,0.9973799999999999,3.38,0.66,11.6,1
8.6,0.55,0.09,3.3,0.068,8.0,17.0,0.99735,3.23,0.44,10.0,0
6.0,0.5,0.04,2.2,0.092,13.0,26.0,0.9964700000000001,3.46,0.47,10.0,0
7.8,0.58,0.13,2.1,0.102,17.0,36.0,0.9944,3.24,0.53,11.2,1
8.8,0.955,0.05,1.8,0.075,5.0,19.0,0.99616,3.3,0.44,9.6,0
7.2,0.58,0.54,2.1,0.114,3.0,9.0,0.9971899999999999,3.33,0.57,10.3,0
8.0,0.67,0.3,2.0,0.06,38.0,62.0,0.9958,3.26,0.56,10.2,1
7.2,1.0,0.0,3.0,0.102,7.0,16.0,0.9958600000000001,3.43,0.46,10.0,0
7.3,0.67,0.02,2.2,0.07200000000000001,31.0,92.0,0.99566,3.32,0.68,11.1,1
7.1,0.43,0.42,5.5,0.071,28.0,128.0,0.9973,3.42,0.71,10.5,0
12.5,0.37,0.55,2.6,0.083,25.0,68.0,0.9995,3.15,0.82,10.4,1
6.9,0.54,0.04,3.0,0.077,7.0,27.0,0.9987,3.69,0.91,9.4,1
6.2,0.63,0.31,1.7,0.08800000000000001,15.0,64.0,0.9969,3.46,0.79,9.3,0
6.7,0.56,0.09,2.9,0.079,7.0,22.0,0.99669,3.46,0.61,10.2,0
11.7,0.45,0.63,2.2,0.073,7.0,23.0,0.99974,3.21,0.69,10.9,1
7.0,0.43,0.3,2.0,0.085,6.0,39.0,0.99346,3.33,0.46,11.9,1
7.6,0.39,0.31,2.3,0.08199999999999999,23.0,71.0,0.9982,3.52,0.65,9.7,0
7.6,0.68,0.02,1.3,0.07200000000000001,9.0,20.0,0.9965,3.17,1.08,9.2,0
7.2,0.53,0.13,2.0,0.057999999999999996,18.0,22.0,0.9957299999999999,3.21,0.68,9.9,1
12.8,0.3,0.74,2.6,0.095,9.0,28.0,0.9994,3.2,0.77,10.8,1
11.3,0.34,0.45,2.0,0.08199999999999999,6.0,15.0,0.9988,2.94,0.66,9.2,1
9.1,0.22,0.24,2.1,0.078,1.0,28.0,0.9990000000000001,3.41,0.87,10.3,1
6.8,0.64,0.0,2.7,0.12300000000000001,15.0,33.0,0.9953799999999999,3.44,0.63,11.3,1
13.0,0.32,0.65,2.6,0.09300000000000001,15.0,47.0,0.9996,3.05,0.61,10.6,0
9.9,0.5,0.24,2.3,0.10300000000000001,6.0,14.0,0.9978,3.34,0.52,10.0,0
9.3,0.655,0.26,2.0,0.096,5.0,35.0,0.9973799999999999,3.25,0.42,9.6,0
8.9,0.635,0.37,1.7,0.263,5.0,62.0,0.9971,3.0,1.09,9.3,0
6.7,0.32,0.44,2.4,0.061,24.0,34.0,0.99484,3.29,0.8,11.6,1
8.2,0.2,0.43,2.5,0.076,31.0,51.0,0.99672,3.53,0.81,10.4,1
8.9,0.29,0.35,1.9,0.067,25.0,57.0,0.997,3.18,1.36,10.3,1
10.4,0.38,0.46,2.1,0.10400000000000001,6.0,10.0,0.99664,3.12,0.65,11.8,1
data/test_party_1.csv
浏览文件 @ e4d8a5ee
x_0,x_1,x_2,x_3,x_4,x_5,x_6,x_7,x_8,x_9,x_10,y 9.0,10.0,10.0,10.0,10.0,10.0,10.0,10.0,1.0,1
12.7,0.6,0.65,2.3,0.063,6.0,25.0,0.9997,3.03,0.57,9.9,0 5.0,3.0,6.0,1.0,2.0,1.0,1.0,1.0,1.0,0
6.5,0.67,0.0,4.3,0.057,11.0,20.0,0.9948799999999999,3.45,0.56,11.8,0 8.0,7.0,8.0,2.0,4.0,2.0,5.0,10.0,1.0,1
9.2,0.63,0.21,2.7,0.09699999999999999,29.0,65.0,0.9988,3.28,0.58,9.6,0 1.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
6.1,0.32,0.25,2.3,0.071,23.0,58.0,0.9963299999999999,3.42,0.97,10.6,0 2.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
6.1,0.38,0.15,1.8,0.07200000000000001,6.0,19.0,0.9955,3.42,0.57,9.4,0 1.0,3.0,1.0,1.0,2.0,1.0,2.0,2.0,1.0,0
8.2,0.4,0.44,2.8,0.08900000000000001,11.0,43.0,0.9975,3.53,0.61,10.5,1 5.0,1.0,1.0,3.0,4.0,1.0,3.0,2.0,1.0,0
9.9,0.72,0.55,1.7,0.136,24.0,52.0,0.9975200000000001,3.35,0.94,10.0,0 5.0,1.0,1.0,1.0,2.0,1.0,2.0,2.0,1.0,0
7.2,0.695,0.13,2.0,0.076,12.0,20.0,0.99546,3.29,0.54,10.1,0 3.0,2.0,2.0,3.0,2.0,1.0,1.0,1.0,1.0,0
8.8,0.66,0.26,1.7,0.07400000000000001,4.0,23.0,0.9971,3.15,0.74,9.2,0 6.0,9.0,7.0,5.0,5.0,8.0,4.0,2.0,1.0,0
10.1,0.31,0.35,1.6,0.075,9.0,28.0,0.99672,3.24,0.83,11.2,1 10.0,8.0,10.0,1.0,3.0,10.0,5.0,1.0,1.0,1
9.9,0.59,0.07,3.4,0.102,32.0,71.0,1.00015,3.31,0.71,9.8,0 10.0,10.0,10.0,1.0,6.0,1.0,2.0,8.0,1.0,1
7.6,0.79,0.21,2.3,0.087,21.0,68.0,0.9955,3.12,0.44,9.2,0 4.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
7.0,0.69,0.08,1.8,0.09699999999999999,22.0,89.0,0.9959,3.34,0.54,9.2,1 4.0,1.0,3.0,3.0,2.0,1.0,1.0,1.0,1.0,0
12.7,0.6,0.49,2.8,0.075,5.0,19.0,0.9994,3.14,0.57,11.4,0 5.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
5.9,0.29,0.25,13.4,0.067,72.0,160.0,0.99721,3.33,0.54,10.3,1 10.0,4.0,3.0,10.0,4.0,10.0,10.0,1.0,1.0,1
8.2,0.28,0.6,3.0,0.10400000000000001,10.0,22.0,0.99828,3.39,0.68,10.6,0 5.0,2.0,2.0,4.0,2.0,4.0,1.0,1.0,1.0,0
12.4,0.49,0.58,3.0,0.10300000000000001,28.0,99.0,1.0008,3.16,1.0,11.5,1 1.0,1.0,1.0,3.0,2.0,3.0,1.0,1.0,1.0,0
8.1,0.53,0.22,2.2,0.078,33.0,89.0,0.9967799999999999,3.26,0.46,9.6,1 1.0,1.0,1.0,1.0,2.0,2.0,1.0,1.0,1.0,0
7.0,0.55,0.13,2.2,0.075,15.0,35.0,0.9959,3.36,0.59,9.7,1 5.0,1.0,1.0,6.0,3.0,1.0,2.0,1.0,1.0,0
6.4,0.57,0.02,1.8,0.067,4.0,11.0,0.997,3.46,0.68,9.5,0 2.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
7.5,0.42,0.32,2.7,0.067,7.0,25.0,0.9962799999999999,3.24,0.44,10.4,0 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
9.6,0.33,0.52,2.2,0.07400000000000001,13.0,25.0,0.9950899999999999,3.36,0.76,12.4,1 5.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
6.7,0.46,0.24,1.7,0.077,18.0,34.0,0.9948,3.39,0.6,10.6,1 1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0
10.5,0.36,0.47,2.2,0.07400000000000001,9.0,23.0,0.9963799999999999,3.23,0.76,12.0,1 5.0,7.0,9.0,8.0,6.0,10.0,8.0,10.0,1.0,1
6.6,0.61,0.0,1.6,0.069,4.0,8.0,0.9939600000000001,3.33,0.37,10.4,0 4.0,1.0,1.0,3.0,1.0,1.0,2.0,1.0,1.0,0
7.0,0.59,0.0,1.7,0.052000000000000005,3.0,8.0,0.996,3.41,0.47,10.3,0 5.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
8.7,0.7,0.24,2.5,0.226,5.0,15.0,0.9991,3.32,0.6,9.0,1 3.0,1.0,1.0,3.0,2.0,1.0,1.0,1.0,1.0,0
9.9,0.5,0.5,13.8,0.205,48.0,82.0,1.00242,3.16,0.75,8.8,0 4.0,5.0,5.0,8.0,6.0,10.0,10.0,7.0,1.0,1
7.6,0.735,0.02,2.5,0.071,10.0,14.0,0.9953799999999999,3.51,0.71,11.7,1 2.0,3.0,1.0,1.0,3.0,1.0,1.0,1.0,1.0,0
7.7,0.965,0.1,2.1,0.11199999999999999,11.0,22.0,0.9963,3.26,0.5,9.5,0 10.0,2.0,2.0,1.0,2.0,6.0,1.0,1.0,2.0,1
6.7,0.86,0.07,2.0,0.1,20.0,57.0,0.99598,3.6,0.74,11.7,1 10.0,6.0,5.0,8.0,5.0,10.0,8.0,6.0,1.0,1
7.5,0.27,0.34,2.3,0.05,4.0,8.0,0.9951,3.4,0.64,11.0,1 8.0,8.0,9.0,6.0,6.0,3.0,10.0,10.0,1.0,1
10.0,0.32,0.59,2.2,0.077,3.0,15.0,0.9994,3.2,0.78,9.6,0 5.0,1.0,2.0,1.0,2.0,1.0,1.0,1.0,1.0,0
10.3,0.53,0.48,2.5,0.063,6.0,25.0,0.9998,3.12,0.59,9.3,1 5.0,1.0,3.0,1.0,2.0,1.0,1.0,1.0,1.0,0
10.3,0.5,0.42,2.0,0.069,21.0,51.0,0.9982,3.16,0.72,11.5,1 5.0,1.0,1.0,3.0,2.0,1.0,1.0,1.0,1.0,0
7.6,0.685,0.23,2.3,0.111,20.0,84.0,0.9964,3.21,0.61,9.3,0 3.0,1.0,1.0,1.0,2.0,5.0,1.0,1.0,1.0,0
10.8,0.5,0.46,2.5,0.073,5.0,27.0,1.0001,3.05,0.64,9.5,0 6.0,1.0,1.0,3.0,2.0,1.0,1.0,1.0,1.0,0
9.6,0.5,0.36,2.8,0.11599999999999999,26.0,55.0,0.9972200000000001,3.18,0.68,10.9,0 4.0,1.0,1.0,1.0,2.0,1.0,1.0,2.0,1.0,0
6.9,0.55,0.15,2.2,0.076,19.0,40.0,0.9961,3.41,0.59,10.1,0 4.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
7.1,0.65,0.18,1.8,0.07,13.0,40.0,0.997,3.44,0.6,9.1,0 10.0,9.0,8.0,7.0,6.0,4.0,7.0,10.0,3.0,1
8.3,0.6,0.13,2.6,0.085,6.0,24.0,0.9984,3.31,0.59,9.2,1 \ No newline at end of file
8.0,0.42,0.17,2.0,0.073,6.0,18.0,0.9972,3.29,0.61,9.2,1
6.7,0.54,0.13,2.0,0.076,15.0,36.0,0.9973,3.61,0.64,9.8,0
7.6,0.43,0.31,2.1,0.069,13.0,74.0,0.9958,3.26,0.54,9.9,1
8.7,0.84,0.0,1.4,0.065,24.0,33.0,0.9954,3.27,0.55,9.7,0
7.6,0.35,0.6,2.6,0.073,23.0,44.0,0.99656,3.38,0.79,11.1,1
9.6,0.54,0.42,2.4,0.081,25.0,52.0,0.997,3.2,0.71,11.4,1
6.9,0.74,0.03,2.3,0.054000000000000006,7.0,16.0,0.99508,3.45,0.63,11.5,1
9.7,0.55,0.17,2.9,0.087,20.0,53.0,1.0004,3.14,0.61,9.4,0
7.0,0.69,0.0,1.9,0.114,3.0,10.0,0.99636,3.35,0.6,9.7,1
6.9,0.41,0.33,2.2,0.081,22.0,36.0,0.9949,3.41,0.75,11.1,1
9.0,0.58,0.25,2.8,0.075,9.0,104.0,0.99779,3.23,0.57,9.7,0
5.6,0.31,0.37,1.4,0.07400000000000001,12.0,96.0,0.9954,3.32,0.58,9.2,0
9.4,0.41,0.48,4.6,0.07200000000000001,10.0,20.0,0.9973,3.34,0.79,12.2,1
10.7,0.46,0.39,2.0,0.061,7.0,15.0,0.9981,3.18,0.62,9.5,0
7.2,0.36,0.46,2.1,0.07400000000000001,24.0,44.0,0.99534,3.4,0.85,11.0,1
10.4,0.24,0.46,1.8,0.075,6.0,21.0,0.9976,3.25,1.02,10.8,1
10.6,0.36,0.59,2.2,0.152,6.0,18.0,0.9986,3.04,1.05,9.4,0
7.8,0.56,0.12,2.0,0.08199999999999999,7.0,28.0,0.997,3.37,0.5,9.4,1
7.8,0.62,0.05,2.3,0.079,6.0,18.0,0.99735,3.29,0.63,9.3,0
7.3,0.69,0.32,2.2,0.069,35.0,104.0,0.9963200000000001,3.33,0.51,9.5,0
6.0,0.42,0.19,2.0,0.075,22.0,47.0,0.9952200000000001,3.39,0.78,10.0,1
8.0,0.71,0.0,2.6,0.08,11.0,34.0,0.9976,3.44,0.53,9.5,0
9.1,0.29,0.33,2.05,0.063,13.0,27.0,0.99516,3.26,0.84,11.7,1
7.1,0.43,0.42,5.5,0.07,29.0,129.0,0.9973,3.42,0.72,10.5,0
7.3,0.32,0.23,2.3,0.066,35.0,70.0,0.9958799999999999,3.43,0.62,10.1,0
10.4,0.26,0.48,1.9,0.066,6.0,10.0,0.99724,3.33,0.87,10.9,1
4.9,0.42,0.0,2.1,0.048,16.0,42.0,0.99154,3.71,0.74,14.0,1
7.2,0.63,0.0,1.9,0.09699999999999999,14.0,38.0,0.99675,3.37,0.58,9.0,1
7.5,0.58,0.56,3.1,0.153,5.0,14.0,0.9947600000000001,3.21,1.03,11.6,1
7.3,0.34,0.33,2.5,0.064,21.0,37.0,0.9952,3.35,0.77,12.1,1
7.7,0.26,0.26,2.0,0.052000000000000005,19.0,77.0,0.9951,3.15,0.79,10.9,1
13.5,0.53,0.79,4.8,0.12,23.0,77.0,1.0018,3.18,0.77,13.0,0
10.0,0.26,0.54,1.9,0.083,42.0,74.0,0.99451,2.98,0.63,11.8,1
7.6,0.78,0.0,1.7,0.076,33.0,45.0,0.9961200000000001,3.31,0.62,10.7,1
9.1,0.4,0.5,1.8,0.071,7.0,16.0,0.9946200000000001,3.21,0.69,12.5,1
7.7,0.51,0.28,2.1,0.087,23.0,54.0,0.998,3.42,0.74,9.2,0
6.9,0.765,0.18,2.4,0.243,5.5,48.0,0.9961200000000001,3.4,0.6,10.3,1
7.4,0.61,0.01,2.0,0.07400000000000001,13.0,38.0,0.9974799999999999,3.48,0.65,9.8,0
8.9,0.595,0.41,7.9,0.086,30.0,109.0,0.9998,3.27,0.57,9.3,0
6.6,0.84,0.03,2.3,0.059000000000000004,32.0,48.0,0.9952,3.52,0.56,12.3,1
7.6,0.42,0.08,2.7,0.084,15.0,48.0,0.9968,3.21,0.59,10.0,0
7.1,0.62,0.06,1.3,0.07,5.0,12.0,0.9942,3.17,0.48,9.8,0
7.0,0.36,0.21,2.3,0.086,20.0,65.0,0.9955799999999999,3.4,0.54,10.1,1
7.0,0.5,0.25,2.0,0.07,3.0,22.0,0.9963,3.25,0.63,9.2,0
6.1,0.48,0.09,1.7,0.078,18.0,30.0,0.9940200000000001,3.45,0.54,11.2,1
10.4,0.26,0.48,1.9,0.066,6.0,10.0,0.99724,3.33,0.87,10.9,1
8.0,0.5,0.39,2.6,0.08199999999999999,12.0,46.0,0.9985,3.43,0.62,10.7,1
7.9,0.52,0.26,1.9,0.079,42.0,140.0,0.9964,3.23,0.54,9.5,0
9.1,0.66,0.15,3.2,0.09699999999999999,9.0,59.0,0.99976,3.28,0.54,9.6,0
9.0,0.38,0.41,2.4,0.10300000000000001,6.0,10.0,0.9960399999999999,3.13,0.58,11.9,1
9.2,0.46,0.23,2.6,0.091,18.0,77.0,0.9992200000000001,3.15,0.51,9.4,0
9.3,0.43,0.44,1.9,0.085,9.0,22.0,0.99708,3.28,0.55,9.5,0
7.7,0.915,0.12,2.2,0.14300000000000002,7.0,23.0,0.9964,3.35,0.65,10.2,1
7.6,0.49,0.26,1.6,0.23600000000000002,10.0,88.0,0.9968,3.11,0.8,9.3,0
7.5,0.52,0.4,2.2,0.06,12.0,20.0,0.99474,3.26,0.64,11.8,1
7.4,0.59,0.08,4.4,0.086,6.0,29.0,0.9974,3.38,0.5,9.0,0
7.8,0.87,0.26,3.8,0.107,31.0,67.0,0.9966799999999999,3.26,0.46,9.2,0
7.8,0.52,0.25,1.9,0.081,14.0,38.0,0.9984,3.43,0.65,9.0,1
7.2,0.41,0.3,2.1,0.083,35.0,72.0,0.997,3.44,0.52,9.4,0
7.0,0.22,0.3,1.8,0.065,16.0,20.0,0.99672,3.61,0.82,10.0,1
5.2,0.645,0.0,2.15,0.08,15.0,28.0,0.99444,3.78,0.61,12.5,1
8.8,0.61,0.3,2.8,0.08800000000000001,17.0,46.0,0.9976,3.26,0.51,9.3,0
7.7,1.005,0.15,2.1,0.102,11.0,32.0,0.9960399999999999,3.23,0.48,10.0,0
6.8,0.62,0.08,1.9,0.068,28.0,38.0,0.99651,3.42,0.82,9.5,1
7.3,0.98,0.05,2.1,0.061,20.0,49.0,0.99705,3.31,0.55,9.7,0
data/test_party_2.csv
浏览文件 @ e4d8a5ee
x_0,x_1,x_2,x_3,x_4,x_5,x_6,x_7,x_8,x_9,x_10,y 7.0,8.0,8.0,7.0,3.0,10.0,7.0,2.0,3.0,1
6.8,0.56,0.22,1.8,0.07400000000000001,15.0,24.0,0.9943799999999999,3.4,0.82,11.2,1 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
12.5,0.6,0.49,4.3,0.1,5.0,14.0,1.001,3.25,0.74,11.9,1 1.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
8.0,0.62,0.33,2.7,0.08800000000000001,16.0,37.0,0.9972,3.31,0.58,10.7,1 4.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
7.5,0.57,0.02,2.6,0.077,11.0,35.0,0.9955700000000001,3.36,0.62,10.8,1 1.0,1.0,3.0,1.0,2.0,1.0,2.0,1.0,1.0,0
10.4,0.41,0.55,3.2,0.076,22.0,54.0,0.9996,3.15,0.89,9.9,1 1.0,1.0,3.0,1.0,2.0,1.0,2.0,1.0,1.0,0
5.1,0.585,0.0,1.7,0.044000000000000004,14.0,86.0,0.99264,3.56,0.94,12.9,1 3.0,1.0,1.0,3.0,2.0,1.0,2.0,1.0,1.0,0
7.9,0.51,0.25,2.9,0.077,21.0,45.0,0.9974,3.49,0.96,12.1,1 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
7.1,0.59,0.0,2.2,0.078,26.0,44.0,0.9952200000000001,3.42,0.68,10.8,1 5.0,2.0,2.0,2.0,2.0,1.0,1.0,1.0,2.0,0
8.6,0.45,0.31,2.6,0.086,21.0,50.0,0.9982,3.37,0.91,9.9,1 3.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
9.9,0.5,0.5,13.8,0.205,48.0,82.0,1.00242,3.16,0.75,8.8,0 5.0,7.0,4.0,1.0,6.0,1.0,7.0,10.0,3.0,1
7.9,0.5,0.33,2.0,0.084,15.0,143.0,0.9968,3.2,0.55,9.5,0 5.0,10.0,10.0,8.0,5.0,5.0,7.0,10.0,1.0,1
10.3,0.44,0.5,4.5,0.107,5.0,13.0,0.998,3.28,0.83,11.5,0 3.0,10.0,7.0,8.0,5.0,8.0,7.0,4.0,1.0,1
8.1,0.87,0.0,3.3,0.096,26.0,61.0,1.00025,3.6,0.72,9.8,0 3.0,2.0,1.0,2.0,2.0,1.0,3.0,1.0,1.0,0
10.9,0.37,0.58,4.0,0.071,17.0,65.0,0.99935,3.22,0.78,10.1,0 2.0,1.0,1.0,1.0,2.0,1.0,3.0,1.0,1.0,0
8.0,0.25,0.43,1.7,0.067,22.0,50.0,0.9946,3.38,0.6,11.9,1 5.0,3.0,2.0,1.0,3.0,1.0,1.0,1.0,1.0,0
8.2,0.31,0.4,2.2,0.057999999999999996,6.0,10.0,0.99536,3.31,0.68,11.2,1 1.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,1.0,0
7.2,0.49,0.24,2.2,0.07,5.0,36.0,0.996,3.33,0.48,9.4,0 4.0,1.0,4.0,1.0,2.0,1.0,1.0,1.0,1.0,0
7.3,0.59,0.26,7.2,0.07,35.0,121.0,0.9981,3.37,0.49,9.4,0 1.0,1.0,2.0,1.0,2.0,1.0,2.0,1.0,1.0,0
6.6,0.58,0.02,2.4,0.069,19.0,40.0,0.99387,3.38,0.66,12.6,1 5.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
10.1,0.935,0.22,3.4,0.105,11.0,86.0,1.001,3.43,0.64,11.3,0 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
13.7,0.415,0.68,2.9,0.085,17.0,43.0,1.0014,3.06,0.8,10.0,1 2.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
8.1,0.66,0.7,2.2,0.098,25.0,129.0,0.9972,3.08,0.53,9.0,0 10.0,10.0,10.0,10.0,5.0,10.0,10.0,10.0,7.0,1
9.3,0.27,0.41,2.0,0.091,6.0,16.0,0.998,3.28,0.7,9.7,0 5.0,10.0,10.0,10.0,4.0,10.0,5.0,6.0,3.0,1
8.3,0.61,0.3,2.1,0.084,11.0,50.0,0.9972,3.4,0.61,10.2,1 5.0,1.0,1.0,1.0,2.0,1.0,3.0,2.0,1.0,0
7.4,0.55,0.19,1.8,0.08199999999999999,15.0,34.0,0.99655,3.49,0.68,10.5,0 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
11.6,0.32,0.55,2.8,0.081,35.0,67.0,1.0002,3.32,0.92,10.8,1 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
8.9,0.4,0.32,5.6,0.087,10.0,47.0,0.9991,3.38,0.77,10.5,1 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
8.8,0.42,0.21,2.5,0.092,33.0,88.0,0.99823,3.19,0.52,9.2,0 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
7.9,0.49,0.32,1.9,0.08199999999999999,17.0,144.0,0.9968,3.2,0.55,9.5,0 3.0,1.0,1.0,1.0,2.0,1.0,2.0,3.0,1.0,0
8.2,0.38,0.32,2.5,0.08,24.0,71.0,0.99624,3.27,0.85,11.0,1 4.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
5.0,0.38,0.01,1.6,0.048,26.0,60.0,0.9908399999999999,3.7,0.75,14.0,1 1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,8.0,0
7.3,0.38,0.21,2.0,0.08,7.0,35.0,0.9961,3.33,0.47,9.5,0 1.0,1.0,1.0,3.0,2.0,1.0,1.0,1.0,1.0,0
9.0,0.8,0.12,2.4,0.083,8.0,28.0,0.99836,3.33,0.65,10.4,1 5.0,10.0,10.0,5.0,4.0,5.0,4.0,4.0,1.0,1
7.0,0.43,0.02,1.9,0.08,15.0,28.0,0.99492,3.35,0.81,10.6,1 3.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
8.3,0.42,0.38,2.5,0.094,24.0,60.0,0.9979,3.31,0.7,10.8,1 3.0,1.0,1.0,1.0,2.0,1.0,2.0,1.0,2.0,0
7.6,0.95,0.03,2.0,0.09,7.0,20.0,0.9959,3.2,0.56,9.6,0 3.0,1.0,1.0,1.0,3.0,2.0,1.0,1.0,1.0,0
8.8,0.7,0.0,1.7,0.069,8.0,19.0,0.9970100000000001,3.31,0.53,10.0,1 2.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0
9.0,0.82,0.05,2.4,0.081,26.0,96.0,0.9981399999999999,3.36,0.53,10.0,0 5.0,10.0,10.0,3.0,7.0,3.0,8.0,10.0,2.0,1
7.8,0.52,0.25,1.9,0.081,14.0,38.0,0.9984,3.43,0.65,9.0,1 4.0,8.0,6.0,4.0,3.0,4.0,10.0,6.0,1.0,1
10.0,0.48,0.24,2.7,0.102,13.0,32.0,1.0,3.28,0.56,10.0,1 4.0,8.0,8.0,5.0,4.0,5.0,10.0,4.0,1.0,1
10.3,0.41,0.42,2.4,0.213,6.0,14.0,0.9994,3.19,0.62,9.5,1 \ No newline at end of file
7.5,0.53,0.06,2.6,0.086,20.0,44.0,0.9965,3.38,0.59,10.7,1
9.3,0.41,0.39,2.2,0.064,12.0,31.0,0.9984,3.26,0.65,10.2,0
6.0,0.64,0.05,1.9,0.066,9.0,17.0,0.9949600000000001,3.52,0.78,10.6,0
8.7,0.82,0.02,1.2,0.07,36.0,48.0,0.9952,3.2,0.58,9.8,0
7.7,0.57,0.21,1.5,0.069,4.0,9.0,0.9945799999999999,3.16,0.54,9.8,1
7.8,0.56,0.19,1.8,0.10400000000000001,12.0,47.0,0.9964,3.19,0.93,9.5,0
12.5,0.46,0.49,4.5,0.07,26.0,49.0,0.9981,3.05,0.57,9.6,0
13.3,0.34,0.52,3.2,0.094,17.0,53.0,1.0014,3.05,0.81,9.5,1
7.5,0.51,0.02,1.7,0.084,13.0,31.0,0.9953799999999999,3.36,0.54,10.5,1
8.2,1.33,0.0,1.7,0.081,3.0,12.0,0.9964,3.53,0.49,10.9,0
6.2,0.43,0.22,1.8,0.078,21.0,56.0,0.9963299999999999,3.52,0.6,9.5,1
8.4,0.715,0.2,2.4,0.076,10.0,38.0,0.99735,3.31,0.64,9.4,0
6.6,0.705,0.07,1.6,0.076,6.0,15.0,0.9962,3.44,0.58,10.7,0
6.3,0.76,0.0,2.9,0.07200000000000001,26.0,52.0,0.99379,3.51,0.6,11.5,1
8.1,0.78,0.23,2.6,0.059000000000000004,5.0,15.0,0.997,3.37,0.56,11.3,0
8.0,0.38,0.44,1.9,0.098,6.0,15.0,0.9956,3.3,0.64,11.4,1
8.0,0.52,0.03,1.7,0.07,10.0,35.0,0.99575,3.34,0.57,10.0,0
8.2,0.28,0.6,3.0,0.10400000000000001,10.0,22.0,0.99828,3.39,0.68,10.6,0
10.8,0.89,0.3,2.6,0.132,7.0,60.0,0.9978600000000001,2.99,1.18,10.2,0
9.3,0.655,0.26,2.0,0.096,5.0,35.0,0.9973799999999999,3.25,0.42,9.6,0
10.0,0.69,0.11,1.4,0.084,8.0,24.0,0.9957799999999999,2.88,0.47,9.7,0
6.8,0.83,0.09,1.8,0.07400000000000001,4.0,25.0,0.99534,3.38,0.45,9.6,0
9.4,0.33,0.59,2.8,0.079,9.0,30.0,0.9976,3.12,0.54,12.0,1
7.5,0.51,0.02,1.7,0.084,13.0,31.0,0.9953799999999999,3.36,0.54,10.5,1
8.3,0.715,0.15,1.8,0.08900000000000001,10.0,52.0,0.9968,3.23,0.77,9.5,0
7.5,0.725,0.04,1.5,0.076,8.0,15.0,0.99508,3.26,0.53,9.6,0
8.2,0.5,0.35,2.9,0.077,21.0,127.0,0.9976,3.23,0.62,9.4,0
9.4,0.3,0.56,2.8,0.08,6.0,17.0,0.9964,3.15,0.92,11.7,1
7.2,0.53,0.14,2.1,0.064,15.0,29.0,0.99323,3.35,0.61,12.1,1
6.5,0.58,0.0,2.2,0.096,3.0,13.0,0.9955700000000001,3.62,0.62,11.5,0
7.2,0.62,0.01,2.3,0.065,8.0,46.0,0.9933200000000001,3.32,0.51,11.8,1
9.6,0.68,0.24,2.2,0.087,5.0,28.0,0.9988,3.14,0.6,10.2,0
6.3,0.55,0.15,1.8,0.077,26.0,35.0,0.9931399999999999,3.32,0.82,11.6,1
7.8,0.7,0.06,1.9,0.079,20.0,35.0,0.9962799999999999,3.4,0.69,10.9,0
7.0,0.57,0.02,2.0,0.07200000000000001,17.0,26.0,0.99575,3.36,0.61,10.2,0
8.9,0.22,0.48,1.8,0.077,29.0,60.0,0.9968,3.39,0.53,9.4,1
7.8,0.58,0.02,2.0,0.073,9.0,18.0,0.9968,3.36,0.57,9.5,1
6.6,0.84,0.03,2.3,0.059000000000000004,32.0,48.0,0.9952,3.52,0.56,12.3,1
7.7,0.49,0.26,1.9,0.062,9.0,31.0,0.9966,3.39,0.64,9.6,0
7.2,0.39,0.44,2.6,0.066,22.0,48.0,0.9949399999999999,3.3,0.84,11.5,1
12.6,0.41,0.54,2.8,0.10300000000000001,19.0,41.0,0.99939,3.21,0.76,11.3,1
10.7,0.4,0.48,2.1,0.125,15.0,49.0,0.998,3.03,0.81,9.7,1
9.0,0.785,0.24,1.7,0.078,10.0,21.0,0.99692,3.29,0.67,10.0,0
8.4,0.52,0.22,2.7,0.084,4.0,18.0,0.99682,3.26,0.57,9.9,1
7.0,0.54,0.09,2.0,0.081,10.0,16.0,0.99479,3.43,0.59,11.5,1
7.8,0.55,0.0,1.7,0.07,7.0,17.0,0.99659,3.26,0.64,9.4,1
7.7,0.28,0.3,2.0,0.062,18.0,34.0,0.9952,3.28,0.9,11.3,1
6.9,0.63,0.02,1.9,0.078,18.0,30.0,0.9971200000000001,3.4,0.75,9.8,0
7.3,0.73,0.24,1.9,0.10800000000000001,18.0,102.0,0.9967,3.26,0.59,9.3,0
8.1,0.73,0.0,2.5,0.081,12.0,24.0,0.99798,3.38,0.46,9.6,0
11.6,0.41,0.54,1.5,0.095,22.0,41.0,0.99735,3.02,0.76,9.9,1
7.2,0.62,0.06,2.7,0.077,15.0,85.0,0.99746,3.51,0.54,9.5,0
8.3,0.66,0.15,1.9,0.079,17.0,42.0,0.9972,3.31,0.54,9.6,1
6.9,0.48,0.2,1.9,0.08199999999999999,9.0,23.0,0.99585,3.39,0.43,9.05,0
7.2,0.695,0.13,2.0,0.076,12.0,20.0,0.99546,3.29,0.54,10.1,0
7.5,0.57,0.08,2.6,0.08900000000000001,14.0,27.0,0.99592,3.3,0.59,10.4,1
9.1,0.28,0.46,9.0,0.114,3.0,9.0,0.9990100000000001,3.18,0.6,10.9,1
10.2,0.44,0.42,2.0,0.071,7.0,20.0,0.99566,3.14,0.79,11.1,1
5.6,0.31,0.78,13.9,0.07400000000000001,23.0,92.0,0.99677,3.39,0.48,10.5,1
7.8,0.82,0.29,4.3,0.083,21.0,64.0,0.9964200000000001,3.16,0.53,9.4,0
5.4,0.74,0.0,1.2,0.040999999999999995,16.0,46.0,0.9925799999999999,4.01,0.59,12.5,1
7.5,0.52,0.11,1.5,0.079,11.0,39.0,0.9968,3.42,0.58,9.6,0
6.3,0.68,0.01,3.7,0.10300000000000001,32.0,54.0,0.9958600000000001,3.51,0.66,11.3,1
8.6,0.645,0.25,2.0,0.083,8.0,28.0,0.99815,3.28,0.6,10.0,1
8.0,0.58,0.16,2.0,0.12,3.0,7.0,0.99454,3.22,0.58,11.2,1
data/train_party_0.csv
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docker-compose.yml
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services: services:
node0: node0:
image: primihub/primihub-node:1.0.5 image: primihub/primihub-node:latest
restart: "no" restart: "no"
hostname: node0_primihub hostname: node0_primihub
container_name: node0_primihub container_name: node0_primihub
...@@ -18,7 +18,7 @@ services: ...@@ -18,7 +18,7 @@ services:
entrypoint: entrypoint:
- "/bin/bash" - "/bin/bash"
- "-c" - "-c"
- "./primihub-node --service_port=50050 --node_id=node0 --config=/app/primihub_node0.yaml" - "./primihub-node --service_port=50050 --node_id=node0 --config=/app/config/primihub_node0.yaml"
networks: networks:
testing_net: testing_net:
ipv4_address: 172.28.1.10 ipv4_address: 172.28.1.10
...@@ -26,7 +26,7 @@ services: ...@@ -26,7 +26,7 @@ services:
- simple_bootstrap_node - simple_bootstrap_node
node1: node1:
image: primihub/primihub-node:1.0.5 image: primihub/primihub-node:latest
restart: "no" restart: "no"
hostname: node1_primihub hostname: node1_primihub
container_name: node1_primihub container_name: node1_primihub
...@@ -44,7 +44,7 @@ services: ...@@ -44,7 +44,7 @@ services:
entrypoint: entrypoint:
- "/bin/bash" - "/bin/bash"
- "-c" - "-c"
- "./primihub-node --service_port=50050 --node_id=node1 --config=/app/primihub_node1.yaml" - "./primihub-node --service_port=50050 --node_id=node1 --config=/app/config/primihub_node1.yaml"
networks: networks:
testing_net: testing_net:
ipv4_address: 172.28.1.11 ipv4_address: 172.28.1.11
...@@ -52,7 +52,7 @@ services: ...@@ -52,7 +52,7 @@ services:
- simple_bootstrap_node - simple_bootstrap_node
node2: node2:
image: primihub/primihub-node:1.0.5 image: primihub/primihub-node:latest
restart: "no" restart: "no"
hostname: node2_primihub hostname: node2_primihub
container_name: node2_primihub container_name: node2_primihub
...@@ -70,7 +70,7 @@ services: ...@@ -70,7 +70,7 @@ services:
entrypoint: entrypoint:
- "/bin/bash" - "/bin/bash"
- "-c" - "-c"
- "./primihub-node --service_port=50050 --node_id=node2 --config=/app/primihub_node2.yaml" - "./primihub-node --service_port=50050 --node_id=node2 --config=/app/config/primihub_node2.yaml"
networks: networks:
testing_net: testing_net:
ipv4_address: 172.28.1.12 ipv4_address: 172.28.1.12
......
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# E2E端到端测试
## 目录结构
```
e2etest |--------- local|---- pre_test.py 启动节点
| |---- test_mpc.py
| |---- test_fl.py
| |---- test_psi.py
| |---- test_pir.py
| |---- config.py 配置路径，请首先修改！！！
| |---- test_dir.py 测试路径
```
## 测试环境
1. 环境: wsl2 + ubuntu, 本地编译, 依赖项配置参考如下:
```
- name: Install go
run: |
sudo apt install golang
sudo rm -rf /usr/bin/go
sudo rm -rf /usr/local/go
wget https://dl.google.com/go/go1.18.3.linux-amd64.tar.gz
sudo tar -xzf go1.18.3.linux-amd64.tar.gz -C /usr/local
sudo ln -s /usr/local/go/bin/go /usr/bin/go
- name: Install startNode
run: |
git clone https://github.com/primihub/simple-bootstrap-node.git && cd simple-bootstrap-node
go mod tidy
```
> 启动节点已经安装的请忽略上述安装go和startNode
```
- name: Install pytest
run: sudo apt-get install python3-pip && pip3 install pytest
- name: Install gnome-terminal
run: |
sudo apt-get install libgirepository1.0-dev
sudo apt-get install python-cairo
sudo apt-get install libcairo2
sudo python3 -m pip install -U pycairo
sudo python3 -m pip install --ignore-installed PyGObject
sudo apt-get install gnome-terminal
```
>或者参考 [这里]( https://blog.csdn.net/qq_44026881/article/details/125317821?spm=1001.2101.3001.6650.3&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3-125317821-blog-122414615.pc_relevant_multi_platform_whitelistv2&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3-125317821-blog-122414615.pc_relevant_multi_platform_whitelistv2&utm_relevant_index=5)
2. 运行方式
```bash
cd e2etest
cd local
# 1. 检测全部功能
pytest
# 2. 检测单个功能
pytest -s test_mpc.py
```
3. 注意问题
* 注意配置/e2etest/local/config中的bootstrap node的路径
* 如果test_mpc.py失败，请注意node2节点的配置。
* 如果test_fl.py失败，请注意是否在primihub/python目录下执行了 python3.9 setup.py install.
>pytest的常见参数
>-s ：显示标准输出，例如print()的语句；
>-v ：显示详细报告；
>-q ：显示简洁报告；
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""""
Copyright 2022 Primihub
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import os
simple_bootstrap_node_path = '/home/xt/Documents/simple-bootstrap-node'
primihub_path = os.path.abspath(os.path.join(os.getcwd(), "../.."))
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""""
Copyright 2022 Primihub
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import os
import time
import config
def pre_start_node():
'''开启一个命令行窗口，运行启动节点
:time.sleep() : 节点首次启动需要时间较长，之后可以修改。
'''
path = config.simple_bootstrap_node_path
os.chdir(path)
os.system("sudo gnome-terminal -e 'go run main.go'")
time.sleep(60)
def pre_node():
'''开启三个命令行窗口，运行节点'''
path = config.primihub_path
os.chdir(path)
os.system("sudo gnome-terminal -e './bazel-bin/node --node_id=node0 --service_port=50050 --config=./config/node0.yaml'")
os.system("sudo gnome-terminal -e './bazel-bin/node --node_id=node1 --service_port=50051 --config=./config/node1.yaml'")
os.system("sudo gnome-terminal -e './bazel-bin/node --node_id=node2 --service_port=50052 --config=./config/node2.yaml'")
time.sleep(30)
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import pre_test
'''
运行启动节点和node节点。
如果已经运行了可以注释掉，也可以选择关闭命令行窗口重新运行。
'''
pre_test.pre_start_node()
pre_test.pre_node()
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import os
import config
def test_change_dir():
'''测试修改当前工作目录'''
path = config.simple_bootstrap_node_path
os.chdir(path)
workDir = os.getcwd()
print(workDir)
assert(workDir) == path
def test_change_workdir():
path = config.primihub_path
os.chdir(path)
workDir = os.getcwd()
print(workDir)
assert(workDir) == path
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import pytest
import os
import pre_test
import config
'''
运行启动节点和node节点。
如果已经运行了可以注释掉，也可以选择关闭命令行窗口重新运行。
'''
# pre_test.pre_start_node()
# pre_test.pre_node()
def test_fl_local():
path = config.primihub_path
os.chdir(path)
command = "./bazel-bin/cli --task_lang=python --server=127.0.0.1:50050 --task_code='./python/primihub/examples/disxgb_en.py' --params='predictFileName:STRING:0:/data/result/prediction.csv,indicatorFileName:STRING:0:/data/result/indicator.csv'"
assert(os.system(command)) == 0
'''测试生成文件'''
assert(os.path.isfile('/data/result/prediction.csv')) == 1
assert(os.path.isfile('/data/result/indicator.csv')) == 1
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import pytest
import os
import pre_test
import config
'''
运行启动节点和node节点。
如果已经运行了可以注释掉，也可以选择关闭命令行窗口重新运行。
'''
pre_test.pre_start_node()
pre_test.pre_node()
def test_mpc_local():
'''
: 多方安全计算任务
: --task_lang: language is proto
: --task_type: 0-actor task
: --task_code: logistic_regression
: --params: batchsize 数据大小，
: numlters 迭代次数，
: trainData 训练数据集
: testData 测试数据集
'''
path = config.primihub_path
os.chdir(path)
command = "./bazel-bin/cli --task_lang=proto --task_type=0 --task_code='logistic_regression' --params='BatchSize:INT32:0:128,NumIters:INT32:0:100,TrainData:STRING:0:train_party_0;train_party_1;train_party_2,TestData:STRING:0:test_party_0;test_party_1;test_party_2'"
assert(os.system(command)) == 0
'''测试生成文件'''
assert(os.path.isfile('/tmp/100_200_party_0_lr.csv')) == 1
assert(os.path.isfile('/tmp/100_200_party_1_lr.csv')) == 1
assert(os.path.isfile('/tmp/100_200_party_2_lr.csv')) == 1
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import pytest
import os
import pre_test
import config
'''
运行启动节点和node节点。
如果已经运行了可以注释掉，也可以选择关闭命令行窗口重新运行。
'''
# pre_test.pre_start_node()
# pre_test.pre_node()
def test_pir_local():
path = config.primihub_path
os.chdir(path)
command = "./bazel-bin/cli --task_type=2 --params='queryIndeies:STRING:0:5,serverData:STRING:0:pir_server_data,outputFullFilename:STRING:0:data/result/pir_result.csv' --input_datasets='serverData'"
assert(os.system(command)) == 0
'''测试生成文件'''
assert(os.path.isfile('data/result/pir_result.csv')) == 1
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import pytest
import os
import pre_test
import config
'''
运行启动节点和node节点。
如果已经运行了可以注释掉，也可以选择关闭命令行窗口重新运行。
'''
# pre_test.pre_start_node()
# pre_test.pre_node()
def test_psi_local():
path = config.primihub_path
os.chdir(path)
command = "./bazel-bin/cli --task_type=3 --params='clientData:STRING:0:psi_client_data,serverData:STRING:0:psi_server_data, clientIndex:INT32:0:0,serverIndex:INT32:0:1,psiType:INT32:0:0,outputFullFilename:STRING:0:data/result/psi_result.csv' --input_datasets='clientData,serverData'"
assert(os.system(command)) == 0
'''测试生成文件'''
assert(os.path.isfile('data/result/psi_result.csv')) == 1
def test_psi_difference():
''' 测试psi任务,求差集 '''
path = config.primihub_path
os.chdir(path)
command = "./bazel-bin/cli --task_type=3 --params='clientData:STRING:0:psi_client_data,serverData:STRING:0:psi_server_data, clientIndex:INT32:0:0,serverIndex:INT32:0:1,psiType:INT32:0:1,outputFullFilename:STRING:0:data/result/psi_result_difference.csv' --input_datasets='clientData,serverData'"
assert(os.system(command)) == 0
'''测试生成文件'''
assert(os.path.isfile('data/result/psi_result_difference.csv')) == 1
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pre_build.sh
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#!/bin/bash
PrevLineNum=`cat BUILD.bazel | grep -n "PLACEHOLDER-PYTHON3.X-CONFIG" | awk -F ":" '{print $1}'`
if [ -z ${PrevLineNum} ]; then
echo "Can't find line including 'PLACEHOLDER-PYTHON3.X-CONFIG' in BUILD.bazel."
exit
fi
TargetLine=`expr $PrevLineNum + 3`
CONFIG=`python3.9-config --ldflags` \
&& NEWLINE="\ \ \ \ linkopts = LINK_OPTS + [\"${CONFIG} -lpython3.9\"]," \
&& sed -i "${TargetLine}c ${NEWLINE}" BUILD.bazel
echo "done"
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primihub
========
.. toctree::
:maxdepth: 4
primihub
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