ntm | An implementation of Neural Turing Machines | Machine Learning library
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kandi X-RAY | ntm Summary
An implementation of Neural Turing Machines
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QUESTION
I'm new to Sagemaker and am running some tests to measure the performance of NTM and LDA on AWS compared with LDA mallet and native Gensim LDA model.
I'm wanting to inspect the trained models on Sagemaker and look at stuff like what words have the highest contribution for each topic. And also to get a measure of model coherence.
I have been able to successfully get what words have the highest contribution for each topic for NTM on Sagemaker by downloading the output file untarring it and unzipping to expose 3 files params, symbol.json and meta.json.
However, when I try to do the same process for LDA, the untarred output file cannot be unzipped.
Maybe I'm missing something or should do something different for LDA compared with NTM but I have not been able to find any documentation on this. Also, anyone found a simple way to calculate model coherence?
Any assistance would be greatly appreciated!
...ANSWER
Answered 2019-Mar-01 at 21:23This SageMaker notebook, which dives into the scientific details of LDA, also demonstrates how to inspect the model artifacts. Specifically, how to obtain the estimates for the Dirichlet prior alpha
and the topic-word distribution matrix beta
. You can find the instructions in the section titled "Inspecting the Trained Model". For convenience, I will reproduce the relevant code here:
QUESTION
I faced an issue writing my first code in Python. I have a code which is generating values from while loop. My goal is to build DataFrame including column headers such as(['Date','Rev Growth','EPS LTM','DPS LTM','EPS Growth LTM','EPS Growth - NTM','EV/EBITDA - LTM','PE LTM','PE NTM','PEG','FCF Yield NTM','Div Yield']
) and then to add values generated by the loop. I'm getting values using print()
function, which means loop is working properly, but I stacked with the dataframe part.
ANSWER
Answered 2019-Dec-31 at 15:24If I understood correctly, I would collect all the headers and their values in a dictionary and build the data frame. Here, I will show you a data frame with a single row containing some of the header and the random values. I will assume:
QUESTION
I try to monitor the total memory allocated to my Java application (OpenJDK 11.0.4) by the OS (Linux Ubuntu 19.04).
I take two approches:
- Using the VmRSS size from
ps
orcat /proc//status | grep VmRSS
- Using Java NativeMemoryTracking functionality with the following properties:
-XX:NativeMemoryTracking=summary -XX:+UnlockDiagnosticVMOptions -XX:+PrintNMTStatistics
and using the Total committed size.
The numbers retrieved from both approaches are always different (sometimes of a few megabytes ... sometimes a lot more).
What I understand is that the VmRSS size reported by the OS is the real memory used by the process but why does Java NTM reports a different value?
If I want to be able to monitor the Resident Set Size of a Java application, should I rely on the OS reported size (VmRSS) of can I use something inside the JVM (like NTM) ? Ideally I want to be able to monitor the RSS size of my Java application from itself ...
...ANSWER
Answered 2019-Oct-17 at 18:00It's not a surprise that NMT and RSS numbers are different -- the JVM and the OS use different approaches to measure different things.
NMT can report much less memory than the actual usage, or it can also report more memory than the process consumes from the OS perspective. I explained the reasons in this answer.
Monitoring RSS inside a Java application is simple. You already know about /proc//status
, so why not just read /proc/self/status
in Java code? (Linux automatically maps self
to the current process ID). It's even easier to parse /proc/self/stat
, since all the information is provided there in a single line in a predefined format.
It's also possible to get NMT report from within Java application as described in this answer.
QUESTION
I can't understand following qsort call qsort(cricketer,7,sizeof(struct player),comp);
How is the size of "struct player" calculated because in struct player member char *name;
is not static.
ANSWER
Answered 2019-Sep-14 at 12:27The structure contains the pointer name
, not the memory that the pointer might actually point to. Therefore the size is well-known as it only include the size of the pointer itself.
QUESTION
I have 2 graphs on the same plot and when I try to make a fitting I can only do it in one of them, not both at the same time. This is what I am getting:
I am adding the fit not by code but using tools. How could I do it using code? This is the code I am using:
...ANSWER
Answered 2019-May-17 at 22:28Disclaimer, I didn't quite follow your code, but I think you have two data sets, wanted to plot them then fit a model, then plot the model. The below code does that. You would need to adopt the basics to your case.
QUESTION
I've tried a bunch of solution but it always end with Cell ref is out of range.
I thought that GetDataRange()
& GetLastRow()
would cover the last non-blank cell but I'm stuck. I've tried to hardcode my cell values (from X to Y) but nothing seems to change.
ANSWER
Answered 2019-Jul-13 at 03:02(editing my original answer - I must have been tired!) In the function GetSpecialFurnitureValues, there are a few things.
The for loop uses i < length, but it should be <= or you will miss the last row:
QUESTION
Hello I am trying to create an histogram of the variable Wkinet for various times j (it s how the energy distribution of some particles changes through time) but I want to 1)for every time step not take in to account the zero values 2)Take as a result all the histfits for every value of time in one diagramm but only the fit not the bars 3)I would also like it normalized on the y axes
...ANSWER
Answered 2019-Jun-05 at 07:31 erg2eV = 6.2415e11;
ntM=500;
myTolerance=1e-15; % in erg units.
nbins=1000;
for j=1:ntM/10:ntM
hold on
myFit = fitdist((Wkinet_eV(Wkinet_eV(:,j)>myTolerance, j) ), 'Normal');
maxEv = max(Wkinet_eV(Wkinet_eV(:,j)>myTolerance, j));
minEv = min(Wkinet_eV(Wkinet_eV(:,j)>myTolerance, j)); %also
myX = minEv: (maxEv-minEv)/nbins: maxEv;
myY = pdf(myFit, myX);
loglog((myX),( myY)); %maybe just plot or %plot(log10(myX),myY)
ylim([10^-13,1])
pause;
end
QUESTION
I want to change the y axis of the histogram to show percentages ranging from 0 to 1. this is what I've tried, but it doesn't seem to be working.
...ANSWER
Answered 2019-May-13 at 21:28You can set limits on your y-axis using
ylim([1e-3 1]) %lower limit is nonzero since it's plotted on log scale
or
set(gca, 'ylim', [1e-3 1])
QUESTION
I'm running a simulation of particles in a box. When a particle leaves the box, its kinetic energy becomes zero (for time > t escape). So I want to make a histogram of how Wkinet (which is a function of nP=number of particles, ntM=time steps) evolves through time, but I do not want to take into account the zero values of every column. Is there a way to code it so it can find the optimum number of bins?
This is what I've tried:
...ANSWER
Answered 2019-May-13 at 21:03Logical indexing is often rather fast and intuitive once you get the hang of the syntax.
QUESTION
I am creating a python script that can read scanned, and tabular .pdfs and extract some important data and insert it into a JSON to later be implemented into a SQL database (I will also be developing the DB as a project for learning MongoDB).
Basically, my issue is I have never worked with any JSON files before but that was the format I was recommended to output to. The scraping script works, the pre-processing could be a lot cleaner, but for now it works. The issue I run into is the keys, and values are in the same list, and some of the values because they had a decimal point are two different list items. Not really sure where to even start.
I don't really know where to start, I suppose since I know what the indexes of the list are I can easily assign keys and values, but then it may not be applicable to any .pdf, that is the script cannot be coded explicitly.
...ANSWER
Answered 2019-Mar-26 at 03:27Without input data it is difficult to give you working code. A minimal working example with input would help. As for JSON handling, python dictionaries can dump to json easily. See examples here. https://docs.python-guide.org/scenarios/json/
Get a json string from a dictionary and write to a file. Figure out how to parse the text into a dictionary.
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