Hello,
I want to weight terms of a large text based on their semantics (not on
their frequency (TF-IDF)).
Is there a way to do that using NLTK or other means? through a vectorizer?
For example: a certain term weights more than others etc...
Thanks
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the purpose of the diagram is to convey a minimalistic idea about the
structure of the code/implementation/software
Le mer. 25 déc. 2024 à 01:49, Thomas Passin via Python-list <
python-list@python.org> a écrit :
> On 12/24/2024 3:42 PM, marc nicole via Python-list wrote:
> > i
ted to
> different functionalities) and use their methods accordingly as per the
> requirement: basically the structure of my code and how the modules relate
> to each other.
>
> Le mar. 24 déc. 2024 à 21:56, dn via Python-list
> a écrit :
>
>> On 25/12/24 06:27,
mar. 24 déc. 2024 à 21:56, dn via Python-list a
écrit :
> On 25/12/24 06:27, marc nicole via Python-list wrote:
> > Hello community,
> >
> > I have created a Python code where a main algorithm uses three different
> > modules (.py) after importing them.
> >
> &g
it is here https://i.sstatic.net/ykk5Wd0w.png
Le mar. 24 déc. 2024 à 20:03, Michael Torrie via Python-list <
python-list@python.org> a écrit :
> On 12/24/24 10:27 AM, marc nicole via Python-list wrote:
> > the diagram is also attached here
>
> This text-only mailin
the diagram is also attached here
Le mar. 24 déc. 2024 à 18:27, marc nicole a écrit :
> Hello community,
>
> I have created a Python code where a main algorithm uses three different
> modules (.py) after importing them.
>
> To illustrate and describe it I have created the following component
> d
Hello community,
I have created a Python code where a main algorithm uses three different
modules (.py) after importing them.
To illustrate and describe it I have created the following component
diagram?
[image: checkso.PNG]
Could it be improved for better description and readability?
Thanks
Hello,
The fatal error exits the program with a code -1 while referencing the
memory address involved and nothing else.
How to catch it in Python 2.7?
PS: please not I am not talking about exceptions but an error resulting
from the disconnection of my bluetooth microphone abruptly and leading to
I am using the below class1 code to detect some event through the method
check_for_the_event()
# Some class1def check_for_the_event(self):
thread1 = threading.Timer(2, self.check_for_the_event)
thread1.start()# some processingif event is detected:
self.event_ok = Trueelse:
self.event_o
Hello Python fellows,
I hope this question is not very far from the main topic of this list, but
I have a hard time finding a way to check whether audio data samples are
containing empty noise or actual significant voice/noise.
I am using PyAudio to collect the sound through my PC mic as follows:
I am trying to assess whether the lips of a person are moving too much
while the mouth is closed (to conclude they are chewing).
I try to assess the lip movement through landmarks (dlib) :
Inspired by the mouth example (
https://github.com/mauckc/mouth-open/blob/master/detect_open_mouth.py#L17),
Could you show a python code example of this?
On Thu, 26 Sept 2024, 03:08 Cameron Simpson, wrote:
> On 25Sep2024 22:56, marc nicole wrote:
> >How to create a per-thread event in Python 2.7?
>
> Every time you make a Thread, make an Event. Pass it to the thread
> worker function and keep it to
How to create a per-thread event in Python 2.7?
On Wed, 25 Sept 2024, 22:47 Cameron Simpson via Python-list, <
python-list@python.org> wrote:
> On 25Sep2024 19:24, marc nicole wrote:
> >I want to know how to kill a specific running thread (say by its id)
> >
> >for now I run and kill a thread li
Hello guys,
I want to know how to kill a specific running thread (say by its id)
for now I run and kill a thread like the following:
# start thread
thread1 = threading.Thread(target= self.some_func(), args=( ...,), )
thread1.start()
# kill the thread
event_thread1 = threading.Event()
event_thread
reading the console DID display the messages correctly!
Thanks.
Le mar. 3 sept. 2024 à 10:48, Alan Gauld via Tutor a
écrit :
> On 02/09/2024 15:00, marc nicole via Python-list wrote:
> > Hello,
> >
> > I am using Python 2.7 on Windows 10
>
> Others have pointed out th
Hello,
I am using Python 2.7 on Windows 10 and I want to launch a process
independently of the rest of the code so that the execution continues while
the started process proceeds. I am using Process().start() from Python 2.7
as follows:
from multiprocessing import Process
def do_something(text):
You invitation to read on machine is not helping, if you wanna enlighten us
on this specific case otherwise pls spare me such comments which i know
On Wed, 31 Jul 2024, 16:00 Grant Edwards via Python-list, <
python-list@python.org> wrote:
> On 2024-07-31, marc nicole via Python-li
and a sheep wont have any target position or any probability
whatsoever in the image weirdobject.jpg
On Wed, 31 Jul 2024, 00:19 dn via Python-list,
wrote:
> On 31/07/24 06:18, marc nicole via Python-list wrote:
> > Hello all,
> >
> > I want to predict an object by given as in
OK, but how's the probability of small_ball greater than others? I can't
find it anyway, what's its value?
Le mar. 30 juil. 2024 à 21:37, Thomas Passin via Python-list <
python-list@python.org> a écrit :
> On 7/30/2024 2:18 PM, marc nicole via Python-list wrote:
> >
Hello all,
I want to predict an object by given as input an image and want to have my
model be able to predict the label. I have trained a model using tensorflow
based on annotated database where the target object to predict was added to
the pretrained model. the code I am using is the following w
Browsing the available version of tensorflow for the dates before January
2021 (date when Python 2.7 stopped being supported) I can't find a
tensorflow version for Python 2.7 that works under Windows.
The reference site I use is https://pypi.org/project/tensorflow/
Anybody can point out a compati
What are the parameters to account for in this type of algorithm? are there
some checks to perform the arm moves ? for example angle moves or cartesian
moves based on some distance thresholds? Any idea about the
pseudo-algorithm is welcome.
Thanks.
Le dim. 23 juin 2024 à 10:33, Alan Gauld via Tut
Hello to all of this magnificent community!
I have this problem I had already spent a few days on and still can't
figure out a proper solution.
So, given the x,y,z coordinates of a target object and the offset x,y,z of
arms of a robot, what is a good algorithm to perform to grab the object
betwee
My code is just an attempt at the task, it is not exact as what relates to
the coordinates (e.g., doesn't account for the size of the object. I would
like to have a idea on the general approach to such problems (even a pseudo
code would do)
"Get the hands rapidly enough in the vicinity and then do
I am trying to install numpy library on Python 2.7.15 in PyCharm but the
error message I get is:
ERROR: Could not find a version that satisfies the requirement numpy (from
> versions: none)
> ERROR: No matching distribution found for numpy
> c:\python27\lib\site-packages\pip\_vendor\urllib3\util\s
?
Which tuple I should use to refer to the underlying list value as you
suggest?
Anything else is good in my code ?
Thanks
Le dim. 31 mars 2024 à 01:44, MRAB via Python-list
a écrit :
> On 2024-03-31 00:09, marc nicole via Python-list wrote:
> > I am creating a memoization example with
I am creating a memoization example with a function that adds up / averages
the elements of an array and compares it with the cached ones to retrieve
them in case they are already stored.
In addition, I want to store only if the result of the function differs
considerably (passes a threshold e.g.
So I am trying to build a binary tree hierarchy given numerical elements
serving for its leaves (last level of the tree to build). From the leaves I
want to randomly create a name for the higher level of the hierarchy and
assign it to the children elements. For example: if the elements inputted
are
] = dataframe_original.iloc[
> > dataset_index_values[idx_cell][1],
> > dataset_index_values[idx_cell][0]
> > ]
> > all_datasets.append(dataframe_cpy)
> > all_datasets_final.append(all_datasets)
> > return all_da
1/2024 7:37 AM, marc nicole via Python-list wrote:
> > Hello,
> >
> > I have an initial dataframe with a random list of target cells (each cell
> > being identified with a couple (x,y)).
> > I want to yield four different dataframes each containing the value of
> one
Hello,
I have an initial dataframe with a random list of target cells (each cell
being identified with a couple (x,y)).
I want to yield four different dataframes each containing the value of one
of the contour (surrounding) cells of each specified target cell.
the surrounding cells to consider fo
Hi all,
I have a csv OLAP dataset that I want to extract the domain hierarchies
from each of its dimensions.
Anybody could recommend a Python tool that could manage this properly?
Thanks
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Hello to All,
I want to create a cube from csv data file and to perform and aggregation
on it, the code is below:
from sqlalchemy import create_enginefrom cubes.tutorial.sql import
create_table_from_csvfrom cubes import Workspace, Cell, browser
import dataif __name__ == '__main__':
engine = c
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