remove rint and go abck to .7, .2, .1 test train val split in testing

Author: martham93

label_maker/package.py

@@ -102,7 +102,7 @@ def package_directory(dest_folder, classes, imagery, ml_type, seed=False, split_
     y_vals = np.array(y_vals, dtype=np.uint8)
 
     # Get number of data samples per split from the float proportions
-    split_n_samps = np.rint([len(x_vals) * val for val in split_vals])
+    split_n_samps = [len(x_vals) * val for val in split_vals]
 
     if np.any(split_n_samps == 0):
         raise ValueError('split must not generate zero samples per partition, change ratio of values in config file.')

test/fixtures/integration/config_3way.integration.json

@@ -19,5 +19,5 @@
   "ml_type": "classification",
   "seed": 19,
   "split_names": ["train", "test", "val"],
-  "split_vals": [0.6, 0.2, 0.2]
+  "split_vals": [0.7, 0.2, 0.1]
 }