# For checking if file exists
import os
# For Data Analysis
import pandas
filename = "Sample Data"
XMLStructureFilename = "canstructure.xml"
raw_data = True
df = pandas.DataFrame()
if raw_data:
if not os.path.isfile(filename + ".parsed_raw_data"):
df = Parser.get_raw_data(filename, XMLStructureFilename)
Parser.save_parsed_data_to_file(dataframe=df, filename=filename + ".parsed_raw_data")
else:
df = Parser.load_parsed_data_from_file(filename + ".parsed_raw_data")
else:
if not os.path.isfile(filename + ".parsed_encoded_data"):
df = Parser.get_label_encoded_data(filename)
Parser.save_parsed_data_to_file(dataframe=df, filename=filename + ".parsed_encoded_data")
else:
df = Parser.load_parsed_data_from_file(filename + ".parsed_encoded_data")
training_set_fraction = 0.7
training_data = df.loc[:training_set_fraction * float(df.shape[0])]
###### ###### ###### ###### ###### ###### START TRAINING ###### ###### ###### ###### ###### ######
