temporary seed param removed

Author: lucifer4073

.github/workflows/pr_pytest.yml

@@ -3,11 +3,9 @@ name: PR pytest
 on:
   push:
     branches:
-      - tdmvdc
       - seed
   pull_request:
     branches:
-      - tdmvdc
       - seed
     paths:
       - "aeon/**"

aeon/classification/shapelet_based/_rsast.py

@@ -80,15 +80,15 @@ def __init__(
         random_state=None,
         classifier=None,
         n_jobs=1,
-        seed=None,
+        # seed=None,
     ):
         super().__init__()
         self.n_random_points = n_random_points
         self.len_method = len_method
         self.nb_inst_per_class = nb_inst_per_class
         self.n_jobs = n_jobs
-        if seed is not None:
-            random_state = seed
+        # if seed is not None:
+        #     random_state = seed
         self.random_state = random_state
         self.classifier = classifier
 

aeon/classification/shapelet_based/_sast.py

@@ -83,15 +83,15 @@ def __init__(
         random_state: Optional[int] = None,
         classifier=None,
         n_jobs: int = 1,
-        seed: int = None,
+        # seed: Optional[int] = None,
     ) -> None:
         super().__init__()
         self.length_list = length_list
         self.stride = stride
         self.nb_inst_per_class = nb_inst_per_class
         self.n_jobs = n_jobs
-        if seed is not None:
-            random_state = seed
+        # if seed is not None:
+        #     random_state = seed
         self.random_state = random_state
 
         self.classifier = classifier

aeon/transformations/collection/shapelet_based/_rsast.py

@@ -114,14 +114,14 @@ def __init__(
         nb_inst_per_class: int = 10,
         random_state: Optional[int] = None,
         n_jobs: int = 1,  # Parllel Processing
-        seed=None,
+        # seed=None,
     ):
         self.n_random_points = n_random_points
         self.len_method = len_method
         self.nb_inst_per_class = nb_inst_per_class
         self.n_jobs = n_jobs
-        if seed is not None:
-            random_state = seed
+        # if seed is not None:
+        #     random_state = seed
         self.random_state = random_state
         self._kernels = None  # z-normalized subsequences
         self._cand_length_list = {}

aeon/transformations/collection/shapelet_based/_sast.py

@@ -108,7 +108,7 @@ def __init__(
         nb_inst_per_class: int = 1,
         random_state: Optional[int] = None,
         n_jobs: int = 1,  # Parallel processing
-        seed: int = None,
+        # seed: int = None,
     ):
         super().__init__()
         self.lengths = lengths
@@ -121,8 +121,8 @@ def __init__(
         self._source_series = []  # To store the index of the original time series
         self.kernels_generators_ = {}  # Reference time series
         self.n_jobs = n_jobs
-        if seed is not None:
-            random_state = seed
+        # if seed is not None:
+        #     random_state = seed
         self.random_state = random_state
 
     def _fit(self, X: np.ndarray, y: Union[np.ndarray, list]) -> "SAST":