Correct paths

src/config.py

-from pathlib import Path
 from typing import Callable
 
 import attr
@@ -30,9 +29,9 @@ class NeuralNetworkConfig:
 
 @attr.s
 class TrainingNnConfig:
-    # Path to .csv file with scored data which will be used as benign data
-    # in neural network training phase
-    benign_data_file_path: Path = attr.ib(default=Path('src/data/scored/all_benign_scored.csv'))
+    # Name of .csv file in src/data/scored directory with scored data which will
+    # be used as benign data in neural network training phase
+    benign_data_file_name: str = attr.ib(default='all_benign_scored.csv')
 
     # Number of benign records to be used
     benign_data_count: int = attr.ib(default=1000)

src/data/loader.py

+from os.path import dirname
 from pathlib import Path
 
 import numpy as np
 import pandas
 
 
-def np_arrays_from_scored_csv(file: Path, label: int,
+def np_arrays_from_scored_csv(file_name: str, label: int,
                               count_max: int = None, shuffle=False):
     """
     Returns 2 x N array
@@ -13,7 +14,7 @@ def np_arrays_from_scored_csv(file: Path, label: int,
 
     See usage in main
     """
-    content = pandas.read_csv(file)
+    content = pandas.read_csv(Path(dirname(__file__)) / Path('scored')/Path(file_name))
     batch = []
     labels = []
 

src/game_solver.py

@@ -28,7 +28,7 @@ class GameSolver:
         self.utility = conf.base_conf.utility_function
 
         train = conf.nn_train_conf
-        self.benign_data = np_arrays_from_scored_csv(train.benign_data_file_path,
+        self.benign_data = np_arrays_from_scored_csv(train.benign_data_file_name,
                                                      0, train.benign_data_count)
 
     def _get_trained_nn(self, attacker_features_x: List[List[float]]) -> NeuralNetwork: