Update visualization codes

lib/datasets/synthetic_core.py

@@ -0,0 +1,29 @@
+import copy
+from .synthetic_env import SyntheticDEnv
+from .math_dynamic_funcs import DynamicQuadraticFunc
+from .math_adv_funcs import ConstantFunc, ComposedSinFunc
+
+
+def get_synthetic_env(total_timestamp=1000, num_per_task=1000, mode=None):
+    mean_generator = ComposedSinFunc()
+    std_generator = ComposedSinFunc(min_amplitude=0.5, max_amplitude=1.5)
+    dynamic_env = SyntheticDEnv(
+        [mean_generator],
+        [[std_generator]],
+        num_per_task=num_per_task,
+        timestamp_config=dict(
+            min_timestamp=-0.5, max_timestamp=1.5, num=total_timestamp, mode=mode
+        ),
+    )
+    function = DynamicQuadraticFunc()
+    function_param = dict()
+    function_param[0] = ComposedSinFunc(
+        num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0
+    )
+    function_param[1] = ConstantFunc(constant=0.9)
+    function_param[2] = ComposedSinFunc(
+        num_sin_phase=5, phase_shift=0.4, max_amplitude=0.9
+    )
+    function.set(function_param)
+    dynamic_env.set_oracle_map(copy.deepcopy(function))
+    return dynamic_env

lib/datasets/synthetic_env.py

@@ -43,6 +43,14 @@ class SyntheticDEnv(data.Dataset):
 
         self._oracle_map = None
 
+    @property
+    def min_timestamp(self):
+        return self._timestamp_generator.min_timestamp
+
+    @property
+    def max_timestamp(self):
+        return self._timestamp_generator.max_timestamp
+
     def set_oracle_map(self, functor):
         self._oracle_map = functor
 
@@ -61,7 +69,7 @@ class SyntheticDEnv(data.Dataset):
         index, timestamp = self._timestamp_generator[index]
         mean_list = [functor(timestamp) for functor in self._mean_functors]
         cov_matrix = [
-            [cov_gen(timestamp) for cov_gen in cov_functor]
+            [abs(cov_gen(timestamp)) for cov_gen in cov_functor]
             for cov_functor in self._cov_functors
         ]
 

lib/datasets/synthetic_utils.py

@@ -53,6 +53,14 @@ class TimeStamp(UnifiedSplit, data.Dataset):
         self._total_num = num
         UnifiedSplit.__init__(self, self._total_num, mode)
 
+    @property
+    def min_timestamp(self):
+        return self._min_timestamp
+
+    @property
+    def max_timestamp(self):
+        return self._max_timestamp
+
     def __iter__(self):
         self._iter_num = 0
         return self