From 0c3ee61115ea6b7b97cae9f6727034fd2f0779b5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?K=C3=BChle=2C=20Laura=20Christine=20=28lakue103=29?=
<laura.kuehle@uni-duesseldorf.de>
Date: Tue, 4 Oct 2022 18:31:58 +0200
Subject: [PATCH] Removed option to choose training domain.
---
ANN_Data_Generator.py | 15 +++------------
config.yaml | 5 +----
workflows/ANN_data.smk | 5 +----
3 files changed, 5 insertions(+), 20 deletions(-)
diff --git a/ANN_Data_Generator.py b/ANN_Data_Generator.py
index fd2d1d8..995c043 100644
--- a/ANN_Data_Generator.py
+++ b/ANN_Data_Generator.py
@@ -33,22 +33,13 @@ class TrainingDataGenerator:
Builds random training data.
"""
- def __init__(self, left_bound=-1, right_bound=1):
- """Initializes TrainingDataGenerator.
-
- Parameters
- ----------
- left_bound : float, optional
- Left boundary of interval. Default: -1.
- right_bound : float, optional
- Right boundary of interval. Default: 1.
-
- """
+ def __init__(self):
+ """Initializes TrainingDataGenerator."""
self._basis_list = [OrthonormalLegendre(pol_deg)
for pol_deg in range(7)]
self._quadrature_list = [Gauss({'num_nodes': pol_deg+1})
for pol_deg in range(7)]
- self._mesh_list = [Mesh(left_bound=left_bound, right_bound=right_bound,
+ self._mesh_list = [Mesh(left_bound=-1, right_bound=1,
num_ghost_cells=0, num_cells=2**exp)
for exp in range(5, 12)]
diff --git a/config.yaml b/config.yaml
index 8cc9d56..89bdfe0 100644
--- a/config.yaml
+++ b/config.yaml
@@ -1,4 +1,4 @@
-data_dir: 'Oct03'
+data_dir: 'Oct04'
random_seed: 1234
# Parameter for Approximation with Troubled Cell Detection
@@ -49,9 +49,6 @@ Approximation:
ANN_Data:
sample_number: 100
- left_boundary: -1
- right_boundary: 1
-
smooth_troubled_balance: 0.5
stencil_length: 3
diff --git a/workflows/ANN_data.smk b/workflows/ANN_data.smk
index de44464..dabbf1d 100644
--- a/workflows/ANN_data.smk
+++ b/workflows/ANN_data.smk
@@ -17,8 +17,6 @@ rule generate_data:
protected(DIR+'/output_data.npy')
default_target: True
params:
- left_bound = config['left_boundary'],
- right_bound = config['right_boundary'],
balance = config['smooth_troubled_balance'],
stencil_len = config['stencil_length'],
sample_number = config['sample_number'],
@@ -37,8 +35,7 @@ rule generate_data:
with open(str(log), 'w') as logfile:
sys.stdout = logfile
- generator = ANN_Data_Generator.TrainingDataGenerator(
- left_bound=params.left_bound, right_bound=params.right_bound)
+ generator = ANN_Data_Generator.TrainingDataGenerator()
data = generator.build_training_data(balance=params.balance,
init_cond_list=init_cond_list, directory=DIR,
num_samples=params.sample_number,
--
GitLab