ttm | Topic models for microblogging content | Topic Modeling library
kandi X-RAY | ttm Summary
kandi X-RAY | ttm Summary
+ Each user’s tweets are put in a file. The file is named by the user’s user_id. Each line in the file has format: … where wj is index of a word in tweet vocabulary. The is used for dividing tweets into batches for cross validation, or for labeling (part of) the tweets by pre-defined topics in semi-supervised learning (see STwitterLDA below) + All users' tweet files are put in "users" folder + Tweet vocabulary is put in "vocabulary.txt" file + The "users" folder and the "vocabulary.txt" file are put in "tweet" folder + The path to "tweet" folder is input for the program. + STwitterLDA: TwitterLDA with semi-supervised learning: part of tweets are labeled by pre-defined topics. The in tweets input are topic_id or -1 if the tweets are not labeled. + NBTwitterLDA: TwitterLDA without background topic.
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Top functions reviewed by kandi - BETA
- Get the covariance variance
- Get the covariance
- Get the covariance
- Gets the kLD distance
- Returns the precision for the targetClasses
- Calculates the precision for the target class
- Gets the k - nearest neighbor distance
- Calculates the Euclidean distance between the two points
- Gets the Euclidean distance between two points
- Gets the Pearson correlation coefficient
- Gets thePearson correlation coefficient
- Gets the standard deviation
- Returns the standard deviation of p
- Samples the dirichlet in the given proportion
- Samples the dirichlet randomly
- Get the top k by name
- Prints the elements to console
- Read the data for the users
- Read users data
- Adjusts the entropy value of an integer array based on the adjusted sum
- Calculates the average entropy of the predicted classes
- Calculate APRC accuracy measure
- Gets the average precision measure
- Returns the entropy of the intElements
- Read data from the data folder
- Get the entropy for double arrays
- Gets the sum of the sum of the log
- Output parameters
ttm Key Features
ttm Examples and Code Snippets
Community Discussions
Trending Discussions on ttm
QUESTION
Jupyter Notebook. A Batch API call returns a JSON array of objects. Parsing requires for loops (weird). I need to append certain JSON object info into a Pandas DataFrame.
...ANSWER
Answered 2021-Jun-07 at 18:26You have to assign the result of append, e.g.
QUESTION
I was making a program which scrapes info about stocks from the website https://www.tradingview.com/screener/ which used selenium.here is the code:
...ANSWER
Answered 2021-May-21 at 05:54Because you are using headless mode the send_keys won't work in this case.
See also this post.
When you remove headless option and replace the "zydus" with e.g. "aapl" everything works fine.
One ways to work this around in your specific case would be e.g.:
QUESTION
#include
#include
void TemperatureCtrl(float curTemp, float TargetTemp, float errTemp);
float TemperatureGet();
int direction = 0;
int main()
{
float CurTemp;
time_t tim = 0;
struct tm ttm;
time_t tim2 = 0;
while (1)
{
time(&tim2);
if (tim != tim2)
{
tim = tim2;
localtime_r(&tim, &ttm);
CurTemp = TemperatureGet();
printf("%02d:%02d:%02d Temp:%.1f℃\r\n", ttm.tm_hour, ttm.tm_min, ttm.tm_sec, CurTemp);
TemperatureCtrl(CurTemp, 23.0, 0.5);
}
}
}
ANSWER
Answered 2021-May-08 at 09:47maybe used sleep(1000) is better?
Yes.
Calling sleep will suspend the current thread for a specified time interval. Other threads could take the CPU to do their work, it's more efficient.
Constantly calling the time function is too inefficient. The current thread occupies the CPU, but there is no meaningful work to do.
QUESTION
I want to find the value of TTM EPS from link https://www.moneycontrol.com/india/stockpricequote/computers-software/infosys/IT
I wrote the following code:
...ANSWER
Answered 2021-Apr-22 at 11:29Try the following xpath //td[contains(text(),'TTM EPS')]/../td[contains(@class,'nseceps')]
This is the lement you are looking for.
Now you can extract the text value from it.
In order to get value of any other asset just pass it as a parameter to this string
QUESTION
I'm trying to execute "invd" instruction from a kernel module. I have asked a similar question How to execute “invd” instruction? previously and from @Peter Cordes's answer, I understand I can't safely run this instruction on SMP system after system boot. So, shouldn't I be able to run this instruction after boot without SMP support? Because there is no other core running, therefore there is no change for memory inconsistency? I have the following kernel module compiled with -o0 flag,
ANSWER
Answered 2021-Mar-13 at 22:45There's 2 questions here:
a) How to execute INVD (unsafely)
For this, you need to be running at CPL=0, and you have to make sure the CPU isn't using any "processor reserved memory protections" which are part of Intel's Software Guard Extensions (an extension to allow programs to have a shielded/private/encrypted space that the OS can't tamper with, often used for digital rights management schemes but possibly usable for enhancing security/confidentiality of other things).
Note that SGX is supported in recent versions of Linux, but I'm not sure when support was introduced or how old your kernel is, or if it's enabled/disabled.
If either of these isn't true (e.g. you're at CPL=3 or there are "processor reserved memory protections) you will get a general protection fault exception.
b) How to execute INVD Safely
For this, you have to make sure that the caches (which includes "external caches" - e.g. possibly including things like eDRAM and caches built into non-volatile RAM) don't contain any modified data that will cause problems if lost. This includes data from:
IRQs. These can be disabled.
NMI and machine check exceptions. For a running OS it's mostly impossible to stop/disable these and if you can disable them then it's like crossing your fingers while ignoring critical hardware failures (an extremely bad idea).
the firmware's System Management Mode. This is a special CPU mode the firmware uses for various things (e.g. ECC scrubbing, some power management, emulation of legacy devices) that't beyond the control of the OS/kernel. It can't be disabled.
writes done by the CPU itself. This includes updating the accessed/dirty flags in page tables (which can not be disabled), plus any performance monitoring or debugging features that store data in memory (which can be "not enabled").
With these restrictions (and not forgetting the performance problems) there are only 2 cases where INVD might be sane - early firmware code that needs to determine RAM chip sizes and configure memory controllers (where it's very likely to be useful/sane), and the instant before the computer is turned off (where it's likely to be pointless).
Guesswork
I'm guessing (based on my inability to think of any other plausible reason) that you want to construct temporary shielded/private area of memory (to enhance security - e.g. so that the data you put in that area won't/can't leak into RAM). In this case (ironically) it's possible that the tool designed specifically for this job (SGX) is preventing you from doing it badly.
QUESTION
I asked this question How to apply different conditional format to different rows? that was kindly answered by @davmos
Now I have a new problem, that is add more than two condtions in different datarows!
So I have the following dataframe:
Where I am highlighting the max values in the coloured rows, but i also want to add other conditions in other rows. For example the minimum value in the 'FORWARD P/E' row
So my code is the following :
...ANSWER
Answered 2021-Mar-14 at 04:06If you concatenate the APPLY function for each function you want, you can do multiple processes. I didn't have the data, so I got AAPL's income statement and adapted it. I changed the minimum value to red.refer to pandas style
QUESTION
I'm hoping to find an answer to an issue I'm facing. I am currently trying to scrape financial data for a project and am in the final step of creating a DataFrame to store my data for downstream manipulation.
My issue is that I have created a dictionary of key value pairs, where the key is a company symbol, and the value pair is a list that contains a nested dictionary of key value pairs which correspond to the market data of that company. Below is an example of the raw data.
...ANSWER
Answered 2021-Feb-21 at 20:49You can flatten nested dictionaries first and pass to DataFrame.from_dict:
QUESTION
I have a problem converting index to time series index pandas i have dataframe:
...ANSWER
Answered 2021-Jan-29 at 08:17You can convert index to Series, shifting and compare index by TTM, filter and add one year, last convert back to YYYY-MM string and pass to rename:
QUESTION
I have a small problem concerning conversion of data to time series. Here are the steps that i carried out. I have the output data as follows : Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree.
...ANSWER
Answered 2021-Jan-28 at 15:53This is a bit simplified from what you are doing, but I think it gets you where you need, mostly from Bitto Bennichan,
QUESTION
so I'm having some trouble making a morse code to text translator. I made the text to morse however, When I tried making morse to text, It didnt work out. I looked up online and since I'm new to python I couldnt really understand most of it so I decided to make one on my own. It works as long as there are no spaces, but when there are spaces, I get this error.
...ANSWER
Answered 2021-Jan-02 at 08:54I think it's when you have two spaces directly after each other. If that is supposed to mean a space between words then just add an empty string key containing a space character value in mtt_dict and it should work.
Then I think you should move the code that checks if key is in mtt_dict should be moved to the else part just before printing the character
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Install ttm
You can use ttm like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ttm component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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