Python DataReader.temp_read_test_data示例

示例#1

文件： gbdt_lstm_ecg.py 项目： guohuiGH/graduation_design

    def __init__(self):
        reader = DataReader(1,5)
        name ="ECG5000" + "/" + "ECG5000"
        self.x_train, self.y_train = reader.read_train_data('../UCR_TS_Archive_2015/'+name+"_TEST")

        self.x_test, self.y_test = reader.read_test_data("../UCR_TS_Archive_2015/"+name+"_TRAIN")
        self.x_input, self.y_input = reader.temp_read_test_data("../UCR_TS_Archive_2015/"+name+"_TRAIN")

示例#2

文件： gbdt_lstm_ucr.py 项目： guohuiGH/graduation_design

    def __init__(self):
        reader = DataReader(1,3)
        name ="StarLightCurves" + "/" + "StarLightCurves"
        self.x_train, self.y_train = reader.read_train_data('../UCR_TS_Archive_2015/'+name+"_TRAIN")

        self.x_test, self.y_test = reader.read_test_data("../UCR_TS_Archive_2015/"+name+"_TEST")
        self.x_input, self.y_input = reader.temp_read_test_data("../UCR_TS_Archive_2015/"+name+"_TEST")

示例#3

 def get_libsvm_data(self):
     reader = DataReader()
     self.x_train, self.y_train = reader.temp_read_train_data(
         '../UCR_TS_Archive_2015/wafer/wafer_TRAIN2')
     self.x_test, self.y_test = reader.temp_read_test_data(
         '../UCR_TS_Archive_2015/wafer/wafer_TEST2')
     self.y_train = self.y_train - 1
     self.y_test = self.y_test - 1

示例#4

    def __init__(self):
        reader = DataReader(152, 2)
        name = "wafer" + "/" + "wafer"
        self.x_train, self.y_train = reader.read_train_data(
            '../UCR_TS_Archive_2015/' + name + "_TRAIN2")

        self.x_test, self.y_test = reader.read_test_data(
            "../UCR_TS_Archive_2015/" + name + "_TEST2")
        self.x_input, self.y_input = reader.temp_read_test_data(
            "../UCR_TS_Archive_2015/" + name + "_TEST2")

示例#5

 def get_libsvm_data(self):
     reader = DataReader()
     self.x_train, self.y_train = reader.temp_read_train_data('../UCR_TS_Archive_2015/ECG5000/ECG5000_TEST')
     self.x_test, self.y_test = reader.temp_read_test_data('../UCR_TS_Archive_2015/ECG5000/ECG5000_TRAIN')

示例#6

import numpy as np
import sys
sys.path.append("../script")
from convert_input import Convert
from validation import Validation
from read_data import DataReader

reader = DataReader(1, 2)

name = "wafer"

x_train, y_train = reader.read_train_data('../UCR_TS_Archive_2015/' + name +
                                          "/" + name + "_TRAIN2")
x_test, y_test = reader.read_test_data("../UCR_TS_Archive_2015/" + name + "/" +
                                       name + "_TEST2")
x_input, y_input = reader.temp_read_test_data("../UCR_TS_Archive_2015/" +
                                              name + "/" + name + "_TEST2")

x_train = np.transpose(x_train, [1, 0, 2])

x_test = np.transpose(x_test, [1, 0, 2])
'''
To classify images using a recurrent neural network, we consider every image
row as a sequence of pixels. Because MNIST image shape is 28*28px, we will then
handle 28 sequences of 28 steps for every sample.
'''

# Parameters
learning_rate = 0.5
training_iters = 100
batch_size = x_train[0].shape[0]

示例#7

文件： gbdt_star.py 项目： guohuiGH/graduation_design

 def get_libsvm_data(self):
     reader = DataReader()
     self.x_train, self.y_train = reader.temp_read_train_data(
         '../UCR_TS_Archive_2015/StarLightCurves/StarLightCurves_TRAIN')
     self.x_test, self.y_test = reader.temp_read_test_data(
         '../UCR_TS_Archive_2015/StarLightCurves/StarLightCurves_TEST')