小编Dam*_*anJ的帖子

我正在尝试将一组字符串从txt文件转换为列表中的int.我能够找到一个很好的代码片段,返回每一行,然后我继续尝试将其转换为int.问题是数字是科学记数法,我得到这个错误:ValueError:int()的基数为10的无效文字:'3.404788e-001'.

这是我一直在搞乱的代码

data = []
rawText = open ("data.txt","r")

for line in rawText.readlines():
    for i in line.split():
        data.append(int(i))

print data[1]
rawText.close()

我一直在尝试使用Keras构建多输入模型。我来自使用顺序模型，并且只有一个非常简单的输入。我一直在查看文档（https://keras.io/getting-started/functional-api-guide/）和有关StackOverflow的一些答案（如何在Keras 2.0中“合并”顺序模型？）。基本上我想要的是让两个输入训练一个模型。一个输入是一段文本，另一个是从该文本中提取的一组精选特征。手工选择的特征向量具有恒定的长度。以下是我到目前为止尝试过的方法：

    left = Input(shape=(7801,), dtype='float32', name='left_input')
    left = Embedding(7801, self.embedding_vector_length, weights=[self.embeddings],
                     input_length=self.max_document_length, trainable=False)(left)

    right = Input(shape=(len(self.z_train), len(self.z_train[0])), dtype='float32', name='right_input')

    for i, filter_len in enumerate(filter_sizes):
        left = Conv1D(filters=128, kernel_size=filter_len, padding='same', activation=c_activation)(left)
        left = MaxPooling1D(pool_size=2)(left)

    left = CuDNNLSTM(100, unit_forget_bias=1)(left)
    right = CuDNNLSTM(100, unit_forget_bias=1)(right)

    left_out = Dense(3, activation=activation, kernel_regularizer=l2(l_2), activity_regularizer=l1(l_1))(left)
    right_out = Dense(3, activation=activation, kernel_regularizer=l2(l_2), activity_regularizer=l1(l_1))(right)
    for i in range(self.num_outputs):
        left_out = Dense(3, activation=activation, kernel_regularizer=l2(l_2), activity_regularizer=l1(l_1))(left_out)
        right_out = Dense(3, activation=activation, kernel_regularizer=l2(l_2), activity_regularizer=l1(l_1))(right_out)

    left_model = Model(left, left_out)
    right_model = …

我想在qstringlist中获取每个元素并从列表中获取原始数据,而不是pyqt存储它的原始数据.

def find(self):
        self.foundFileList.setRowCount(0)

        fileName = self.inputFileName.currentText()
        path = self.directoryPath.currentText()
        maxSize = Decimal(self.maxFileSize.value())
        i = 0

        self.updateComboBox(self.inputFileName)
        self.updateComboBox(self.directoryPath)
        self.currentDir = QtCore.QDir(path)

        if not fileName:
            fileName = "*"

        allFiles = self.currentDir.entryList([fileName],
            QtCore.QDir.Files | QtCore.QDir.NoSymLinks, QtCore.QDir.Size)

        files = self.currentDir.entryList([fileName],
            QtCore.QDir.Files | QtCore.QDir.NoSymLinks, QtCore.QDir.Size)

        for fn in allFiles:
            file = QtCore.QFile(self.currentDir.absoluteFilePath(fn))
            size = Decimal((QtCore.QFileInfo(file).size() + 1023) / 1024)

            if size > maxSize:
                files.removeAt(i)

            i += 1

        self.showFiles(files)

def showFiles(self, files):
        ##Clean house before new round of files is displayed
        del nameList[0:len(nameList)]
        del fileList[0:len(fileList)] …