ragged | 易学教程

Does tf.keras.layers.Conv1D support RaggedTensor input?

阅读更多关于 Does tf.keras.layers.Conv1D support RaggedTensor input?

问题 In the tensorflow conv1D layer documentation, it says that; 'When using this layer as the first layer in a model, provide an input_shape argument (tuple of integers or None, e.g. (10, 128) for sequences of 10 vectors of 128-dimensional vectors, or (None, 128) for variable-length sequences of 128-dimensional vectors.' So I understand that we can input variable length sequences but when I use a ragged tensor input for conv1D layer, it gives me an error: ValueError: Layer conv1d does not support

Splitting text column into ragged multiple new columns in a data table in R

阅读更多关于 Splitting text column into ragged multiple new columns in a data table in R

I have a data table containing 20000+ rows and one column. The string in each column has different number of words. I want to split the words and put each of them in a new column. I know how I can do it word by word: Data [ , Word1 := as.character(lapply(strsplit(as.character(Data$complaint), split=" "), "[", 1))] ( Data is my data table and complaint is the name of the column) Obviously, this is not efficient because each cell in each row has different number of words. Could you please tell me about a more efficient way to do this? Check out cSplit from my "splitstackshape" package. It works

Splitting text column into ragged multiple new columns in a data table in R

阅读更多关于 Splitting text column into ragged multiple new columns in a data table in R

问题 I have a data table containing 20000+ rows and one column. The string in each column has different number of words. I want to split the words and put each of them in a new column. I know how I can do it word by word: Data [ , Word1 := as.character(lapply(strsplit(as.character(Data$complaint), split=" "), "[", 1))] ( Data is my data table and complaint is the name of the column) Obviously, this is not efficient because each cell in each row has different number of words. Could you please tell

Pandas read_csv expects wrong number of columns, with ragged csv file

阅读更多关于 Pandas read_csv expects wrong number of columns, with ragged csv file

问题 I have a csv file that has a few hundred rows and 26 columns, but the last few columns only have a value in a few rows and they are towards the middle or end of the file. When I try to read it in using read_csv() I get the following error. "ValueError: Expecting 23 columns, got 26 in row 64" I can't see where to explicitly state the number of columns in the file, or how it determines how many columns it thinks the file should have. The dump is below In [3]: infile =open(easygui.fileopenbox(),