Python CsvReader.create_from_csv示例

示例#1

文件： main.py 项目： cooklee/projectSprint

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
#

示例#2

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
#