feat(Data): create DataSource, DataCollection, added hourly crypto data (#96)

* feat(Data): create DataSource, DataCollection, added hourly crypto data

* fix(Data): hourly data format, loading & config

archive/model_classification_keras.py

@@ -1,6 +1,6 @@
 #%% Import all the stuff, load data, define constants
 from sklearn.utils import shuffle
-from utils.load_data import load_files, create_target_classes
+from data_loader.load_data import load_files, create_target_classes
 import pandas as pd
 from tensorflow import keras
 from utils.normalize import normalize
@@ -16,7 +16,7 @@ from keras_models.classification_transformer import create_basic_transformer_mod
 data = load_files(path='data/',
     own_asset='BTC_ETH',
     own_asset_lags=[1,2,3,4,5,6,8,10,15],
-    load_other_assets=True,
+    load_non_target_asset=True,
     other_asset_lags=[1,2,3,4],
     log_returns=False,
     add_date_features=True,