Merge pull request #5527 from FederatedAI/feature-2.1.0-update_dag_doc

update readme of doc

doc/2.0/fate/quick_start.md

@@ -78,7 +78,7 @@ hetero_secureboost_0 = HeteroSecureBoost(
 
 # create evaluation component_desc
 evaluation_0 = Evaluation(
-    'evaluation_0', runtime_parties=dict(guest="9999"), metrics=["auc"], input_data=[hetero_secureboost_0.outputs["train_data_output"]]
+    'evaluation_0', runtime_parties=dict(guest="9999"), metrics=["auc"], input_datas=[hetero_secureboost_0.outputs["train_output_data"]]
 )
 
 # add training task

doc/README.md

@@ -0,0 +1,8 @@
+# Document Guidelines
+
+Here are Some tutorial guides:  
+
+[Dag Usage Guide](./2.0/fate/dag.md)  
+[Component Developing Guides](./develop_guide/component_guide.md)  
+[Mainly Algorithms Performance On Multiple Engines](./2.0/fate/performance/performance_multi_engines.md)  
+[Mainly Algorithms Performance Comparison With FATE-v1.11.4](./2.0/fate/performance/performance_comparison.md)  

doc/tutorial/pipeline_tutorial_hetero.ipynb

@@ -29,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -174,7 +174,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,14 +198,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
     "evaluation_0 = Evaluation(\"evaluation_0\",\n",
     "                          runtime_parties=dict(guest='9999'),\n",
     "                          default_eval_setting=\"binary\",\n",
-    "                          input_data=lr_0.outputs[\"train_output_data\"])"
+    "                          input_datas=lr_0.outputs[\"train_output_data\"])"
    ]
   },
   {
@@ -216,8 +216,8 @@
     "\n",
     "    - `psi_0` is responsible for finding overlapping match id\n",
     "    - `lr_0` trains Coordinated LR on data output by `psi_0`\n",
-    "    - `lr_1` predicts with model from `sbt_0`\n",
-    "    - `evaluation_0` consumes `sbt_0`'s prediciton result on training data\n",
+    "    - `lr_1` predicts with model from `lr_0`\n",
+    "    - `evaluation_0` consumes `lr_0`'s prediciton result on training data\n",
     "\n",
     "Then compile our pipeline to make it ready for submission."
    ]
@@ -687,7 +687,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,