kandi X-RAY | Sigma Summary
kandi X-RAY | Sigma Summary
Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought.
Top functions reviewed by kandi - BETA
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Sigma Examples and Code Snippets
def resize_images_v2(images, size, method=ResizeMethod.BILINEAR, preserve_aspect_ratio=False, antialias=False, name=None): """Resize `images` t
def pinv(a, rcond=None, validate_args=False, name=None): """Compute the Moore-Penrose pseudo-inverse of one or more matrices. Calculate the [generalized inverse of a matrix]( https://en.wikipedia.org/wiki/Moore%E2%80%93Penrose_inverse) using i
def non_max_suppression_with_scores(boxes, scores, max_output_size, iou_threshold=0.5, score_threshold=flo
Trending Discussions on Sigma
So... I can
sympy.integrate a normal distribution with mean and standard deviation:
ANSWERAnswered 2021-Jun-15 at 01:38
Here's a close case that works:
I am trying to blur of highest variance point from the image. I wrote code below. 1st part finds the variance of the image. I checked the resultant variance of an image and it is correct. (I used Lena's image) In 2nd part, I find the highest variance coordinates and send to this Function which finds gaussian blur. When I execute this code, it throws
"C:\Tmp\blur_highest_variance.py", line 66, in sigma=15) numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'
I tried a few conversions between types but no avail. Can you show me some direction?
ANSWERAnswered 2021-Jun-10 at 18:48
The error message tells us the line and the reason for the error:
Traceback (most recent call last):
File "C:\Tmp\blur_highest_variance.py", line 66, in sigma=15)
numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'
It is more simple to debug the code using intermediate variables:
For example, use an intermediate named
I have the following code:...
ANSWERAnswered 2021-Jun-10 at 00:41
I believe this will work:
ANSWERAnswered 2021-Jun-09 at 19:36
Since you weren't providing the information I asked for, I tried to write a small test case, seeking to get at the core of your problem.
sympy is tricky and somewhat unpredictable. But sometimes
sympy symbols can be used in
I'm trying to calculate the mean, standard deviation, median, first quartile and third quartile of the lognormal distribution that I fit to my histogram. So far I've only been able to calculate the mean, standard deviation and median, based on the formulas I found on Wikipedia, but I don't know how to calculate the first quartile and the third quartile. How could I calculate in Python the first quartile and the third quartile, based on the lognormal distribution?...
ANSWERAnswered 2021-Jun-08 at 20:07
Given a log-normal distribution, we want to compute its quantiles. Furthermore, the parameters of the log-normal distribution are estimated from data.
The script below uses OpenTURNS to create the distribution using the
LogNormal class. It takes as inputs arguments the mean and standard deviation of the underlying normal distribution. Then we can use the
computeQuantile()method to compute the quantiles.
For the following sample data
dat, is there a way to calculate
max while handling
NAs. My input is:
ANSWERAnswered 2021-Jun-08 at 11:12
The following solution seems to work with the
ANSWERAnswered 2021-Jun-08 at 07:34
The typical reason for the fail is: wrong starting parameters. The formulae used here are somewhat those that would be used for a measurement statistic, while the data here has to be considered the according histogram. The use of
n, hence, does not make sense. It is more like
I am trying to run a code that has a GUI built with pyglet. but it gives this error. I have searched and found that I need to directly set the version of GLSL to be used by the code but I don't know how. would be happy if you helped me out with it....
ANSWERAnswered 2021-Jun-08 at 07:05
well it got solved!
just needed to add the directive
#version 120 at the beginning of the shader like this:
I have a list with the summaries of different linear regressions. I want to extract the coefficients and p-values of all the elements of the linear regressions and put them in a dataframe (one dataframe per each element of the lm).
For example, to extract the coeffcients of the interecpt I am using the follwing:...
ANSWERAnswered 2021-Jun-07 at 03:10
Change your function to -
I simulated data with
nrow=1000 (individuals) and
ncol=100 (days) for step lengths according to a Pareto distribution function:
ANSWERAnswered 2021-Jun-07 at 12:17
First, it looks like you have an error in your Rayleigh PDF. It should be:
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