from csv_reader import CsvReader from DataScientistMethod import train_split_data from model import IrisModel #import os #dir_path = os.path.dirname(os.path.realpath(__file__)) #print("!!!!!!"+dir_path) # load data data = CsvReader.create_from_csv( "/Users/rklis/Projects/PSD_training/projectSprint/iris.csv", sep=";") # data preparation test_data, to_learn = train_split_data(data, 'iris_type', 0.3) irisModel = IrisModel(test_data, to_learn, data.get_types_of_data('iris_type')) irisModel.learn() for item in test_data: a = irisModel.predict(item) b = 1 #
from csv_reader import CsvReader from DataScientistMethod import train_split_data from model import IrisModel #import os #dir_path = os.path.dirname(os.path.realpath(__file__)) #print("!!!!!!"+dir_path) # load data data = CsvReader.create_from_csv("iris.csv",sep=";") # data preparation test_data, to_learn = train_split_data(data, 'iris_type', 0.3) irisModel = IrisModel(test_data, to_learn, data.get_types_of_data('iris_type')) irisModel.learn() for item in test_data: a = irisModel.predict(item) b =1 #