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@@ -0,0 +1,204 @@
+# Standalone-Docker-FATE-1.5.0v torch横向正弦拟合
+## 1、生成原始正弦实验数据
+```shell
+docker exec -it fate_python bash
+cd /fate/examples/data
+vim generate_sine_data.py
+```
+```python
+import pandas as pd
+import numpy as np
+x = np.linspace(0, 64*np.pi, 50000)
+y = np.sin(x)
+pd.DataFrame(y.reshape(5000,10), columns=['x'+str(x) for x in range(9)]+['y']).to_csv('sine_data.csv', index=False)
+```
+## 2、数据横向切分
+```shell
+vim sine_data_homo_split.py
+```
+```python
+import pandas as pd
+data = pd.read_csv('sine_data.csv')
+data.loc[:2499,:].to_csv('sine_data_guest.csv', index=False)
+data.loc[2500:,:].to_csv('sine_data_host.csv', index=False)
+```
+## 3、配置数据上传json文件
+```shell
+cd /fate/examples/dsl/v1/
+vim upload_sine_data_guest.json
+```
+```json
+{
+	"file": "examples/data/sine_data_guest.csv",
+	"head": 1,
+	"partition": 16,
+	"work_mode": 0,
+	"table_name": "sine_data_guest",
+	"namespace": "experiment"
+}
+```
+```shell
+vim upload_sine_data_host.json
+```
+```json
+{
+	"file": "examples/data/sine_data_host.csv",
+	"head": 1,
+	"partition": 16,
+	"work_mode": 0,
+	"table_name": "sine_data_host",
+	"namespace": "experiment"
+}
+```
+## 4、数据上传
+```shell
+cd /fate/python/fate_flow/
+python fate_flow_client.py -f upload -c /fate/examples/dsl/v1/upload_sine_data_guest.json
+python fate_flow_client.py -f upload -c /fate/examples/dsl/v1/upload_sine_data_host.json
+```
+## 5、配置模型参数
+```shell
+cd /fate/examples/dsl/v1/homo_nn/
+vim pytorch_homo_dnn_single_layer.json
+```
+```json
+{
+    "initiator": {
+        "role": "guest",
+        "party_id": 10000
+    },
+    "job_parameters": {
+        "work_mode": 0
+    },
+    "role": {
+        "guest": [
+            10000
+        ],
+        "host": [
+            10000
+        ],
+        "arbiter": [
+            10000
+        ]
+    },
+    "role_parameters": {
+        "guest": {
+            "args": {
+                "data": {
+                    "train_data": [
+                        {
+                            "name": "sine_data_guest",
+                            "namespace": "experiment"
+                        }
+                    ]
+                }
+            },
+            "dataio_0": {
+                "with_label": [
+                    true
+                ],
+                "label_name": [
+                    "y"
+                ],
+                "label_type": [
+                    "float"
+                ],
+                "output_format": [
+                    "dense"
+                ]
+            }
+        },
+        "host": {
+            "args": {
+                "data": {
+                    "train_data": [
+                        {
+                            "name": "sine_data_host",
+                            "namespace": "experiment"
+                        }
+                    ]
+                }
+            },
+            "dataio_0": {
+                "with_label": [
+                    true
+                ],
+                "label_name": [
+                    "y"
+                ],
+                "label_type": [
+                    "float"
+                ],
+                "output_format": [
+                    "dense"
+                ]
+            }
+        }
+    },
+    "algorithm_parameters": {
+        "homo_nn_0": {
+            "config_type": "pytorch",
+            "nn_define": [
+                {
+                    "layer": "Linear",
+                    "name": "line",
+                    "type": "normal",
+                    "config": [
+                        8,
+                        1
+                    ]
+                },
+                {
+                    "layer": "Relu",
+                    "type": "activate",
+                    "name": "relu"
+                }
+            ],
+            "batch_size": -1,
+            "optimizer": {
+                "optimizer": "Adam",
+                "lr": 0.05
+            },
+            "early_stop": {
+                "early_stop": "diff",
+                "eps": 0.0001
+            },
+            "loss": "MSELoss",
+            "metrics": [
+                "mse"
+            ],
+            "max_iter": 2
+        }
+    }
+}
+```
+## 6、提交任务
+```shell
+cd /fate/python/fate_flow/
+python fate_flow_client.py -f submit_job -c /fate/examples/dsl/v1/homo_nn/pytorch_homo_dnn_single_layer.json -d /fate/examples/dsl/v1/homo_nn/test_homo_nn_train_then_predict.json
+```
+返回信息如下，任务提交成功
+```json
+{
+    "data": {
+        "board_url": "http://0.0.0.0:8080/index.html#/dashboard?job_id=2020120206452096971523&role=guest&party_id=10000",
+        "job_dsl_path": "/fate/jobs/2020120206452096971523/job_dsl.json",
+        "job_id": "2020120206452096971523",
+        "job_runtime_conf_on_party_path": "/fate/jobs/2020120206452096971523/guest/job_runtime_on_party_conf.json",
+        "job_runtime_conf_path": "/fate/jobs/2020120206452096971523/job_runtime_conf.json",
+        "logs_directory": "/fate/logs/2020120206452096971523",
+        "model_info": {
+            "model_id": "arbiter-10000#guest-10000#host-10000#model",
+            "model_version": "2020120206452096971523"
+        },
+        "pipeline_dsl_path": "/fate/jobs/2020120206452096971523/pipeline_dsl.json",
+        "train_runtime_conf_path": "/fate/jobs/2020120206452096971523/train_runtime_conf.json"
+    },
+    "jobId": "2020120206452096971523",
+    "retcode": 0,
+    "retmsg": "success"
+}
+```
+## 7、查看FATEBoard
+![在这里插入图片描述](https://img-blog.csdnimg.cn/20201202151203856.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L29xcW1vb24xMjM=,size_16,color_FFFFFF,t_70#pic_center)
+