#getting relative paths
pwd1 = os.getcwd()
#cur dir
grand_parent_dir = os.path.split(pwd1)[0]
# out_path = os.path.join(grand_parent_dir,"data","generated_data.arff");
# path_DARI_demo_only = os.path.join(grand_parent_dir,"data","DARI_noDate_noString_demo_only.arff");
# path_demo_an = os.path.join(grand_parent_dir,"data","demo_an_nofid.arff");
input_filename = "demo_an_nofid.arff"
path_analysis = os.path.join(grand_parent_dir, "data", input_filename)
output_dir_path = os.path.join(os.path.split(os.getcwd())[0], "clustered")
#start the jvm, javabridge
jvm.start()
demo_an_nofid = Clustering(path_analysis, output_dir_path)
demo_an_nofid.run_SKMeans_137()
#stop jvm, javabridge
jvm.stop()
print("end of init_practice.py")
# # output_prefix = input_filename.split(".")[0];
# # output_parent_dir = os.path.join(grand_parent_dir, "clustered");
# # output_dir_path = os.path.join(output_parent_dir, output_prefix);
#
#
#
#
#
#
