fitter | Fit data to many distributions | Analytics library
kandi X-RAY | fitter Summary
kandi X-RAY | fitter Summary
Fit data to many distributions
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Top functions reviewed by kandi - BETA
- Fit a single distribution
- Wrapper for _run_run
- Fit a distribution to a distribution
- Fit the model
- Plot the pdf of the fit
- Creates a tqdm progress bar
- Get the best fit for the given error
- Return a summary of the distribution
- Plot histogram
- Sets the maximum value
- Update the pdf of the data
- Trim the data
- Set the minimum value
- Load all distributions
- Return a list of all available distributions
- Show available fitter distributions
fitter Key Features
fitter Examples and Code Snippets
x = keras.layers.Dropout(0.25)(x)
x = keras.layers.Flatten()(x) # Add this
x = keras.layers.Dense(50, activation='relu')(x)
def square(self):
self.x *= self.x
class Fitter(object):
def __init__(self, x: int):
self.x = x
from helper import square
if name == '__main__':
f = Fitter(9)
f.square()
print(f.x)
uncertainty = np.exp(-5*x*x)
popt, pcov = curve_fit(func, x, y, sigma = uncertainty)
ax = KM_curve.plot(ci_show=False)
ax.set_xlim(0, )
KM_curve.plot(ci_show=False, loc=slice(0, ))
def run(self):
try:
if distribution == "exponweib":
self.result = func(args,floc=0,fa = 1, **kwargs)
else:
self.result = f
x_bar = cph._norm_mean.to_frame().T
X = pd.concat([x_bar] * values.shape[0])
if np.array_equal(np.eye(n_covariates), values):
X.index = ["%s=1" % c for c in covariates]
else:
X.index = [", ".join("%s=%g" % (c, v) for (c, v) in zip
>>> an_amplitude = orig_flux.min()
>>> an_mean = orig_wavelength[orig_flux.argmin()]
>>> an_stddev = np.sqrt(np.sum((orig_wavelength - an_mean)**2) / (len(orig_wavelength) - 1))
>>> print(f'mean: {an_mea
import random
def generate_individual():
# Use list comprehensions
return [random.randrange(0,2) for g in range(64)]
def generate_population(size):
# Same result, only less code
return [generate_individual() for i in ra
Community Discussions
Trending Discussions on fitter
QUESTION
In my unity application, I need make little rectangular components with a string on them. However, I want the size of the rectangle to dynamically line up to the text inside it. This is the hierarchy in my prefab:
According to this article, I just need to add a content fitter to the canvas. I did that and set both horizontal and vertical sizes to "preferred", however apparently the width is just 0 (0 is getting printed out by my Debug.Log). This is my code. I think the issue might have to do with changing the render mode, but this is for a VR application so that needs to stay:
...ANSWER
Answered 2021-May-24 at 17:53I believe this should answer your question - if you have more issues with this implementation, just let me know.
Firstly, remove all code with resizing. Unity's component UI system is very powerful when used properly. Almost anything you would want to achieve with dynamic UI can be done using just components.
Firstly, your container holding the text should have a Horizontal Layout Group
or a Vertical Layout Group
attached to it. Turn off all toggle boxes except for Control Child Size
- Height
. Set the width of this container to whatever you want the width to be, the text will fill to this size.
Along with a layout group (you can choose either one, but as your text is vertical you can use a vertical layout group), you will need a Content Size Fitter
with the Horizontal Fit
set to Unconstrained
and the Vertical Fit
set to Preferred Size
.
It should look something like...
Now moving onto the text component, you can use a Unity.UI.Text
component or a TMPro.TMP_Text
component, either one will work. In this example, I am using the vanilla Unity.UI.Text
. Simply type whatever message you would like in the text field and your parent container should resize to the text field. If you are dynamically setting this text often, you might need to force Unity to rebuild the layout group of your parent object to rescale.
An example snippet of this could look like...
QUESTION
The genetic algorithm is a meta-heuristic algorithm. The statement is that the population evolves each generation into a better (fitter) solution. Why is that?
I am pretty new at AI but want to improve step by step ;-) So please help me understand this algorithm.
At each iteration, a new generation of the population is created. Why will it contain an equal fit or fitter Individual?
...ANSWER
Answered 2021-May-15 at 14:59It could also contain a less fit solution too, to escape a local optima. That's why the global best solution must be remembered too, unless the first individual is guaranteed to contain it and survive.
QUESTION
I deleted an original post so that I was able to post a larger version of the data set. There are actually 418 rows total.
Here is the data for a survival analysis I am conducting. The first column is ID number and the other columns are labelled V2 - V20. There are many missing data which are indicated by a ".".
I use the coxph()
function to obtain the following:
ANSWER
Answered 2021-Mar-30 at 11:49Try the complete.cases()
function. From the description: "Return a logical vector indicating which cases are complete, i.e., have no missing values.
Edit: I hadn't noticed that the missing values were represented by ".". In order for this to work you'll need to replace the periods with proper NA
values, as demonstrated in IRTMF's post.
QUESTION
I'm making a simple auto-layout UI that consists of a Panel with a background image and three rows of text.
To start with, I have a Vertical Layout Group component in a top-level "Panel" GameObject, set to Control Child Height. It also has a Content Size Fitter with "Preferred" set for Vertical Fit. The Panel object has a background image, and has a few children that represent rows in the view:
...ANSWER
Answered 2021-Mar-23 at 09:07try this one
QUESTION
I've a collection of ranks in ship. It has rank and type.
Some of the ranks and their corresponding types are:
- BOSUN -> Crew
- OS -> Crew
- FITTER -> Crew
and some other officer types. User can edit both rank and types(If there's typo or the rank is in wrong type). But I just find the correct mongoose way to do so. This is what I've tried
...ANSWER
Answered 2021-Mar-12 at 12:12please try to update using the following:
QUESTION
I want to estimate cox models but when I try to run the code ,I have an error. it seems this problem about the coxphfitter().does any one here that solve this problem. I think the lifelines library can not compute coefficients with ML method .So here I copy errors and sample code .I should to say I write the code just for example and inputs not reall.
code
...ANSWER
Answered 2021-Feb-12 at 12:18The given clearly states the problem:
ConvergenceError: Convergence halted due to matrix inversion problems. Suspicion is high collinearity. Please see the following tips in the lifelines documentation: https://lifelines.readthedocs.io/en/latest/Examples.html#problems-with-convergence-in-the-cox-proportional-hazard-modelMatrix is singular.
Without the real data I can't give any further advice. But the lifelines documentation gives a lot of advice on this issue:
Convergence halted due to matrix inversion problems: This means that there is high collinearity in your dataset. That is, a column is equal to the linear combination of 1 or more other columns. A common cause of this error is dummying categorical variables but not dropping a column, or some hierarchical structure in your dataset. Try to find the relationship by: adding a penalizer to the model, ex: CoxPHFitter(penalizer=0.1).fit(…) until the model converges. In the print_summary(), the coefficients that have high collinearity will have large (absolute) magnitude in the coefs column. using the variance inflation factor (VIF) to find redundant variables. looking at the correlation matrix of your dataset, or
This is very likely not an error caused by lifelines instead it is your data or how you apply the model on your data.
QUESTION
I am programming a card game in unity and need the cards drawn to be displayed on a UI area bound by a Horizontal Layout Group, the cards are scriptable objects written in advance and displayed when drawn, but for some reason the last card of the deck I create and shuffle is displayed as a random different card, and moved as the first child of the area.
I tried checking the logic of all the functions involved, I found out that removing the shuffling solves the problem, but while debugging the shuffle function I found everything works as intended, so I concluded it must be only a graphical issue. I've also tried adding a Layout Element and Content Size Fitter but it's no use. I'll leave the DrawCards, CreateDeck and Shuffle functions below, for reference. Update: rewriting the DrawCards function with a static hand and deck doesn't fix it either.
...ANSWER
Answered 2021-Feb-08 at 19:18Posting just in case anyone has a similar issue: I solved the problem, the issue is on the DrawCards function: since I was calling the Set function on the top card of the deck after instantiating it, the first card would always instantiate "unset", i.e. randomly. Moving the Set call before the Instantiate fixes the glitch.
QUESTION
SELECT * FROM
(SELECT COUNT("user_job".id) FROM "user_job" WHERE "user".job_title = 'Welder / Fitter') AS
"WelderFitters"
(SELECT COUNT("user_job".id) AS "Welders" FROM "user_job" WHERE "user".job_title =
'Welder')
(SELECT COUNT("user_job".id) AS "Fitters" FROM "user_job" WHERE "user".job_title =
'Fitter')
(SELECT COUNT("user_job".id) AS "Helpers" FROM "user_job" WHERE "user".job_title =
'Helper')
JOIN "user" ON "user".id = "user_job".user_id
JOIN "job" ON "job".id = "user_job".job_id
WHERE "job".id = 22;
...ANSWER
Answered 2021-Feb-01 at 20:33I think you want conditional aggregation. Your sample query suggests something like this:
QUESTION
I am writing some python code to do Kaplan-Meier (KM) curves using the KM Fitter and usually plot 4 curves in the same graph to compare different groups. The basic way to get a KM curve is:
from lifelines import KaplanMeierFitter
#Create the KMF object
KM_curve = KaplanMeierFitter()
#Give data to object. Status is 0 if alive, 1 if deceased (in my case)
KM_curve.fit (durations=My_Data["Time"], event_observed=My_Data["Status"])
#I do a figure in which I use this line 4 times (one per group)
KM_curve.plot(ci_show=False)
With those 4 lines of code and a pandas dataframe (here called My_Data) the KM Fitter automatically does all the calculations and plotting, but I was wondering if anyone knows how to stop the curve prematurely. I have done around 50 different graphs, they look nice and give me the info I need, but sometimes the last part of some curves dramatically drops to 0% (vertically) or very close to it. That is weird since none of my groups has 0 survivors at the end of my x-axis [See in this example, the red line https://i.stack.imgur.com/bn6Vy.png ]
I did read that the KM curves are good to see trends in the middle section, but the last part of the curves may be misleading and has to be examined carefully. That is especially true if there are not enough patients left in that group and thus, the %survival estimate drops dramatically. Someone who does bioinformatics told me she usually stops plotting the curve whenever 10% of patients are left, to prevent this issue. Is it possible to do that in python KMF?
...ANSWER
Answered 2020-Dec-07 at 18:36There are few ways to achieve this:
1.
QUESTION
I have the following method and data:-
...ANSWER
Answered 2020-Nov-22 at 16:47Assuming you have already extended JpaSpecificationExecutor
if not please extend JpaSpecificationExecutor
try building query dynamically and do the filtering via query instead of first fetching the result and then filtering
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install fitter
You can use fitter like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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