move P1 benchmark data to FTP

Author: levinas

P1B1/p1b1.py

@@ -17,8 +17,8 @@
 
 
 def load_data(shuffle=True, n_cols=None):
-    train_path = get_file('P1B1.train.csv', origin='http://bioseed.mcs.anl.gov/~fangfang/benchmarks/data/P1B1.train.csv')
-    test_path = get_file('P1B1.test.csv', origin='http://bioseed.mcs.anl.gov/~fangfang/benchmarks/data/P1B1.test.csv')
+    train_path = get_file('P1B1.train.csv', origin='http://ftp.mcs.anl.gov/pub/candle/public/benchmarks/P1B1/P1B1.train.csv')
+    test_path = get_file('P1B1.test.csv', origin='http://ftp.mcs.anl.gov/pub/candle/public/benchmarks/P1B1/P1B1.test.csv')
 
     usecols = list(range(n_cols)) if n_cols else None
 

P1B2/p1b2.py

@@ -16,8 +16,8 @@
 
 
 def load_data(shuffle=True, n_cols=None):
-    train_path = get_file('P1B2.train.csv', origin='http://bioseed.mcs.anl.gov/~fangfang/benchmarks/data/P1B2.train.csv')
-    test_path = get_file('P1B2.test.csv', origin='http://bioseed.mcs.anl.gov/~fangfang/benchmarks/data/P1B2.test.csv')
+    train_path = get_file('P1B2.train.csv', origin='http://ftp.mcs.anl.gov/pub/candle/public/benchmarks/P1B2/P1B2.train.csv')
+    test_path = get_file('P1B2.test.csv', origin='http://ftp.mcs.anl.gov/pub/candle/public/benchmarks/P1B2/P1B2.test.csv')
 
     usecols = list(range(n_cols)) if n_cols else None
 

P1B3/p1b3.py

@@ -274,11 +274,11 @@ def __init__(self, val_split=0.2, shuffle=True, feature_subsample=None, scaling=
         """
 
         cell_expr_path = get_file('RNA_5_Platform_Gene_Transcript_Averaged_intensities.transposed.txt',
-                                  origin='http://bioseed.mcs.anl.gov/~fangfang/p1b3/RNA_5_Platform_Gene_Transcript_Averaged_intensities.transposed.txt')
+                                  origin='http://ftp.mcs.anl.gov/pub/candle/public/benchmarks/P1B3/RNA_5_Platform_Gene_Transcript_Averaged_intensities.transposed.txt')
         drug_desc_path = get_file('descriptors.2D-NSC.5dose.filtered.txt',
-                                  origin='http://bioseed.mcs.anl.gov/~fangfang/p1b3/descriptors.2D-NSC.5dose.filtered.txt')
+                                  origin='http://ftp.mcs.anl.gov/pub/candle/public/benchmarks/P1B3/descriptors.2D-NSC.5dose.filtered.txt')
         drug_resp_path = get_file('NCI60_dose_response_with_missing_z5_avg.csv',
-                                  origin='http://bioseed.mcs.anl.gov/~fangfang/p1b3/NCI60_dose_response_with_missing_z5_avg.csv')
+                                  origin='http://ftp.mcs.anl.gov/pub/candle/public/benchmarks/P1B3/NCI60_dose_response_with_missing_z5_avg.csv')
 
         self.df_cellline = load_cellline_expressions(cell_expr_path, ncols=feature_subsample, scaling=scaling)
         self.df_drug = load_drug_descriptors(drug_desc_path, ncols=feature_subsample, scaling=scaling)