I have two sets of data and I got the means using the custom tables on SPSS, but I couldn’t know how to do some mathematical functions on the means or s.d. Like ratio or difference! Can anyone help please.
Thanks
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I'm working on a problem that requires searching for some unique 3x3 patterns in binary images. My current method is to do a convolution with a kernel where each value is a different power of two, essentially producing a 9-bit number for each pixel. This is working for me, and I can search for my patterns quickly by simply checking for the corresponding numbers.
I have a couple questions:
Is there a name for this kernel or method? I cannot find any
reference to one like it, but I don't exactly know what to call it.
Is there another way to go about this? I get skeptical of my methods when I don't see anyone else doing it :)
I saw how to do this from a DataSet object, and I saw a setLabel method, and I saw a getLabelMaskArrays, but none of these are what I'm looking for.
Am I just blind or is there not a way?
Thanks
Masking is for variable length time series in RNNs. Most of the time you don't need it. Our built in sequence dataset iterators also tend to handle these cases. For more details see our rnn page: https://deeplearning4j.org/usingrnns
Can anyone please explain the logic behind the functions like "tsclean" & "nnetar" of the package "forecast" written by Professor Rob J Hyndman.
I can able to use the tsclean & nnetar.
I hope these are used for the outlier treatment in time series.
tsclean is used for outlier treatment, i.e. it removes outliers & it fills the missing values.
Request:
What is the method or logic behind it, please let me know (any reference material)
Thanks in Advance!!
Recently i am working on machine learning and build some Models for classification problem with the help of some tutorials. Though i solved my problem successfully but cant get the use and inference of using "NumerictoNominal" method please explain me.
I have tried to learn from the available text but it is very hard core i am seeking for simple explanation.
thanks and regards
I search a lot and finally got a simple example "A set of data is said to be nominal if the values / observations belonging to it can be assigned a code in the form of a number where the numbers are simply labels" for example PIN CODE of a City. Although we use Numeric value to build codes and also u can apply simple Algebra on PIN Codes but it won't make any sense. Also attribute SEX could be male or female it is also a kind of nominal attribute.
thanks
I tried tikz/pgf a bit but have not had much luck creating a nice diagram to visualize bitfields or byte fields of packed data structures (i.e. in memory). Essentially I want a set of rectangles representing ranges of bits with labels inside, and offsets along the top. There should be multiple rows for each word of the data structure. This is similar to most of the diagrams in most processor manuals labeling opcode encoding etc.
Has anyone else tried to do this using latex or is there a package for this?
I have successfully used the bytefield package for something like this. If it doesn't do exactly what you want, please extend your question with an example...
You will find several examples with both tikz code source and a visual rendering of this code at http://www.texample.net/tikz/examples/