Better root path handling

radiomics_pipeline/feature_selection/merge_features.py

-PATH = '/home/bizzego/projects/radiomics_pipeline'
+#%%
+from IPython import get_ipython
+get_ipython().run_line_magic('HN_env', '')
+#%%
+import os
+PATH = os.path.abspath(os.path.join(os.path.curdir,''))
+
+#PATH = '/home/bizzego/projects/radiomics_pipeline'
 
 import numpy as np
-import os
 import matplotlib.pyplot as plt
 import pandas as pd
+#%%
+EXPERIMENT_NAME = 'LR_noTx_branch_wise_free_aug_CT_20191027-124913'
+DEEP_FEATURES_DIR = f'{PATH}/experiments/{EXPERIMENT_NAME}/features'
+RADIOMICS_FEATURES_DIR = f'{PATH}/data'
 
-DATASET = 'OPBG'
-FEATURE_DIR = f'{PATH}/data/{DATASET}/features'
-RADIO_FEATURES = 'radiomics_features_A2.csv'
-DEEP_FEATURES = 'transfer_features_A2.csv'
-OUT_FILE = 'merged_features_A2.csv'
+RADIO_FEATURES = 'radiomics_features_F_SVC_Locoregional.csv'
+DEEP_FEATURES = 'features_noTx_F_SVC_Locoregional.csv'
+OUT_FILE = f'merged_{RADIO_FEATURES}_{DEEP_FEATURES}.csv'
 
 #%%
-feat_radio = pd.read_csv(f'{FEATURE_DIR}/{RADIO_FEATURES}', index_col=0)
-feat_deep = pd.read_csv(f'{FEATURE_DIR}/{DEEP_FEATURES}', index_col=0)
+feat_radio = pd.read_csv(f'{RADIOMICS_FEATURES_DIR}/{RADIO_FEATURES}', index_col=0)
+feat_deep = pd.read_csv(f'{DEEP_FEATURES_DIR}/{DEEP_FEATURES}', index_col=0)
 
 df = pd.merge(feat_radio, feat_deep, left_index=True, right_index=True)
 
 print(df.shape)
 #%% SAVE
-df.to_csv(f'{FEATURE_DIR}/{OUT_FILE}')
+df.to_csv(f'{DEEP_FEATURES_DIR}/{OUT_FILE}')
+
+
+# %%