har_trees: Unhardcode features vector length

Author: jonnor

examples/har_trees/compute_features.py

@@ -5,7 +5,7 @@
 
 import npyfile
 
-from timebased import calculate_features_xyz, DATA_TYPECODE
+from timebased import calculate_features_xyz, DATA_TYPECODE, N_FEATURES
 
 def compute_dataset_features(data: npyfile.Reader,
         skip_samples=0, limit_samples=None, verbose=0):
@@ -70,7 +70,7 @@ def main():
     limit_samples = None
 
     out_typecode = 'f'
-    n_features = 92
+    n_features = N_FEATURES
 
     features_array = array.array(out_typecode, (0 for _ in range(n_features)))
 

examples/har_trees/har_run.py

@@ -4,11 +4,12 @@
 import zipfile
 import npyfile
 import emlearn_trees
+import timebased
 
 def har_load_test_data(path,
         skip_samples=0, limit_samples=None):
 
-    n_features = 92
+    n_features = timebased.N_FEATURES
 
     with zipfile.ZipFile(path) as archive:
         ext = '.npy'