Fix type in train script

@@ -28,7 +28,7 @@ Import data
 '''
 '''
 
 
 def import_ncRNA(path):
 def import_ncRNA(path):
-	file_order = ["CB.txt","ORF.txt","KMER3.txt","KMER4.txt","KMER5.txt"]#,"KMER6.txt"]
+	file_order = ["CB.txt","ORF.txt","KMER3.txt","KMER4.txt","KMER5.txt"]
 	df_raw = []
 	df_raw = []
 	with ThreadPoolExecutor(max_workers=5) as tp:
 	with ThreadPoolExecutor(max_workers=5) as tp:
 		for x in file_order:
 		for x in file_order:
@@ -88,7 +88,6 @@ def combination(vector_values):
 			idx_values[i] = 0 if idx_values[i] == nb_values[i] else idx_values[i]
 			idx_values[i] = 0 if idx_values[i] == nb_values[i] else idx_values[i]
 
 
 NUC_ORDER = ["A","C","T","G"]
 NUC_ORDER = ["A","C","T","G"]
-
 def plot_weights(units,m,n,name):
 def plot_weights(units,m,n,name):
 	features = [
 	features = [
 		["Position "+x for x in NUC_ORDER]+["Composition "+x for x in NUC_ORDER] + ["GC composition"],
 		["Position "+x for x in NUC_ORDER]+["Composition "+x for x in NUC_ORDER] + ["GC composition"],
@@ -108,18 +107,18 @@ def plot_weights(units,m,n,name):
 					dico.append({"x":i,"y":j,"x2": k, "y2": units[idx,features_pos[l][k]],"Name":features[l][k]})
 					dico.append({"x":i,"y":j,"x2": k, "y2": units[idx,features_pos[l][k]],"Name":features[l][k]})
 		df = pd.DataFrame(dico)
 		df = pd.DataFrame(dico)
 		p = ggplot(df,aes(x="x2",y="y2"))
 		p = ggplot(df,aes(x="x2",y="y2"))
-		p += geom_point(aes(color="Name"))
 		p += geom_line()
 		p += geom_line()
+		p += geom_point(aes(color="Name"),size=2.0)
 		p += facet_grid("x ~ y ")
 		p += facet_grid("x ~ y ")
 		p += xlab("")
 		p += xlab("")
 		p += ylab("")
 		p += ylab("")
 		p += guides(color=guide_legend(override_aes={"size":4}))
 		p += guides(color=guide_legend(override_aes={"size":4}))
 		p += theme(
 		p += theme(
-			legend_text=element_text(size=20),
-			legend_title=element_text(size=20),
-			axis_text_x = element_blank()
+			legend_text=element_text(size=10),
+			legend_title=element_text(size=12),
+			axis_text_x = element_blank(),
+			legend_position="top"
 			)
 			)
-		check_dir_file(name)
 		p.save(name+features_names[l]+".png",width=15, height=10)
 		p.save(name+features_names[l]+".png",width=15, height=10)
 
 
 def plot_density(y, proba,name):
 def plot_density(y, proba,name):

@@ -37,7 +37,7 @@ def main():
 	map_size_n = int(arguments["--dim1"]) if not arguments["--dim0"] is None else 10
 	map_size_n = int(arguments["--dim1"]) if not arguments["--dim0"] is None else 10
 	batch_size = int(arguments["--batch_size"]) if not arguments["--batch_size"] is None else 100
 	batch_size = int(arguments["--batch_size"]) if not arguments["--batch_size"] is None else 100
 	penality = float(arguments["--penality"]) if not arguments["--penality"] is None else 0.001
 	penality = float(arguments["--penality"]) if not arguments["--penality"] is None else 0.001
-	alpha = float(argument["--alpha"]) if not argument["--alpha"] is None else 0.5
+	alpha = float(arguments["--alpha"]) if not arguments["--alpha"] is None else 0.5
 	verbose = arguments["--verbose"]
 	verbose = arguments["--verbose"]
 	
 	
 	#Compute features
 	#Compute features