update .gitignore

datamllab · Jan 31, 2023 · 7ddd575 · 7ddd575
1 parent 7b7f3f0
commit 7ddd575
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Showing 39 changed files with 636 additions and 4,364 deletions.
diff --git a/.gitignore b/.gitignore
@@ -120,3 +120,6 @@ example_pipeline.json
 tmp.txt
 
 benchmark/realworld_data/data/*.csv
+
+.vscode/
+tods-doc-sphinx/
diff --git a/.vscode/launch.json b/.vscode/launch.json
diff --git a/docs/tods-doc-sphinx b/docs/tods-doc-sphinx
diff --git a/examples/axolotl_interface/run_advanced_search.py b/examples/axolotl_interface/run_advanced_search.py
@@ -11,7 +11,7 @@
 #target_index = 2 # what column is the target
 
 table_path = '../../datasets/anomaly/raw_data/yahoo_sub_5.csv'
-search_space_path = "../../tods/searcher/example_search_space.json"
+
 target_index = 6 # what column is the target
 #table_path = 'datasets/NAB/realTweets/labeled_Twitter_volume_IBM.csv' # The path of the dataset
 time_limit = 30 # How many seconds you wanna search
@@ -33,8 +33,72 @@
                        beta=1.0)
 
 # get JSON search space
-with open(search_space_path) as f:
-        search_space= json.load(f)
+search_space = {
+  "timeseries_processing": {
+    "time_series_seasonality_trend_decomposition": {
+      "use_semantic_types": [
+        1,
+        0
+      ]
+    },
+    "moving_average_transform":{
+      "window_size":[
+          3,
+          4,
+          5
+      ],
+      "norm":[
+          "l1",
+          "l2",
+          "max"
+      ],
+      "use_semantic_types":[
+          0,
+          1
+      ]
+  }
+  },
+  "feature_analysis": {
+    "statistical_h_mean": {
+      "window_size": [
+        10,
+        20
+      ]
+    },
+    "statistical_maximum": {
+      "window_size": [
+        10,
+        20
+      ]
+    },
+    "statistical_minimum": {
+      "window_size": [
+        10,
+        20
+      ]
+    }
+  },
+  "detection_algorithm": {
+    "pyod_ae": {
+      "dropout_rate": [
+        0.1,
+        0.2
+      ]
+    },
+    "pyod_loda": {
+      "n_bins": [
+        10,
+        20
+      ]
+    },
+    "pyod_cof": {
+      "n_neighborss": [
+        15,
+        20
+      ]
+    }
+  }
+}
 
 #define search process
 config = {

diff --git a/examples/axolotl_interface/run_pipeline_system.py b/examples/axolotl_interface/run_pipeline_system.py
@@ -44,13 +44,11 @@
 
     'feature_analysis': [
         ('statistical_maximum',),
-    ],  # Specify hyperparams as k,v pairs
-
-    #          'timeseries_processing':[
-    #                    ('standard_scaler',)
-    #                    ],
+    ]
 }
 pipeline = build_system_pipeline(config)
+print(pipeline.to_json())
+input()
 
 # Run the pipeline
 pipeline_result = evaluate_pipeline(dataset, pipeline, metric)

diff --git a/out.csv b/out.csv
diff --git a/tods-doc-sphinx b/tods-doc-sphinx
diff --git a/tods/detection_algorithm/core/AutoRegOD.py b/tods/detection_algorithm/core/AutoRegOD.py