Platypus | Open Source Python Library for Multiobjective Optimization | Machine Learning library
kandi X-RAY | Platypus Summary
kandi X-RAY | Platypus Summary
Platypus is a framework for evolutionary computing in Python with a focus on multiobjective evolutionary algorithms (MOEAs). It differs from existing optimization libraries, including PyGMO, Inspyred, DEAP, and Scipy, by providing optimization algorithms and analysis tools for multiobjective optimization. It currently supports NSGA-II, NSGA-III, MOEA/D, IBEA, Epsilon-MOEA, SPEA2, GDE3, OMOPSO, SMPSO, and Epsilon-NSGA-II. For more information, see our IPython Notebook or our online documentation.
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Top functions reviewed by kandi - BETA
- Add a solution to the archive
- Adapts the grid
- Find the index of the density of the matrix
- Finds the index of the given solution
- Evaluate the algorithm
- Evaluate a job generator
- Adds a solution to the product
- Calculate the results
- Generate a generator for the results
- Mutate a child problem
- Mutate a child
- Generate a random solution
- Iteratively evolve the problem
- Evolve the given parents
- Mutate the problem
- Evolve the child
- Generate a list of random weights
- Evaluate the given jobs
- Generates weights for normal boundary weights
- Run the network
- Return unique solutions
- Evaluate the objective function
- Generates an offspring of a population
- Evaluate all the given jobs
- Update the velocities
- Evaluate multiple jobs
Platypus Key Features
Platypus Examples and Code Snippets
Community Discussions
Trending Discussions on Platypus
QUESTION
The error i am recieving is UnboundLocalError: local variable 'this_mammal' referenced before assignment
I have been practicing this stuff for possibly like a few days now but this stumped me. I've looked around for indents and everywhere i have this_mammal placed but it seems okay. I couldnt include the Mammal superclass and animal subclasses because i didnt have enough text to include all the code. Please let me know if thats necessary to include! I can try.
...ANSWER
Answered 2022-Mar-23 at 15:41you have to return selection
at the end of the select_which_mammal
function.
QUESTION
I'm trying to port over some "parallel" Python code to Azure Databricks. The code runs perfectly fine locally, but somehow doesn't on Azure Databricks. The code leverages the multiprocessing
library, and more specifically the starmap
function.
The code goes like this:
...ANSWER
Answered 2021-Aug-22 at 09:31You should stop trying to invent the wheel, and instead start to leverage the built-in capabilities of Azure Databricks. Because Apache Spark (and Databricks) is the distributed system, machine learning on it should be also distributed. There are two approaches to that:
Training algorithm is implemented in the distributed fashion - there is a number of such algorithms packaged into Apache Spark and included into Databricks Runtimes
Use machine learning implementations designed to run on a single node, but train multiple models in parallel - that what typically happens during hyper-parameters optimization. And what is you're trying to do
Databricks runtime for machine learning includes the Hyperopt library that is designed for the efficient finding of best hyper-parameters without trying all combinations of the parameters, that allows to find them faster. It also include the SparkTrials API that is designed to parallelize computations for single-machine ML models such as scikit-learn. Documentation includes a number of examples of using that library with single-node ML algorithms, that you can use as a base for your work - for example, here is an example for scikit-learn.
P.S. When you're running the code with multiprocessing, then the code is executed only on the driver node, and the rest of the cluster isn't utilized at all.
QUESTION
Is it possible in Django to save a pdf from a view to a model (while downloading it at the same time)?
So far, these steps work already:
- the pdf is displayed in a new tab and I can download it
- the model instance is created (but empty)
What dows not work:
- the created model instances does not have a file path and there is no PDF file saved anywhere on the server
My code:
Models
...ANSWER
Answered 2022-Mar-06 at 13:37QUESTION
I have been attempting to generate a table with reportlab, and I have been having trouble with the VALIGN command in TableStyle. It seems to have no effect. Whenever I create a table, the text is overlapping the grid lines, and the VALIGN command has no effect on the position of the text. Below is a toy example that reproduces this effect. The image below shows the overlapping text.
...ANSWER
Answered 2021-May-29 at 11:25I think bottomup
option is broken, with any values other than 1
(default), text rendered incorrectly.
You need to specify rowHeights
for Table
to VALIGN
have effect, otherwise cell height is adjusted to font height + padding.
QUESTION
im still learning pyhton. and i try to figure out, How can i break the game when the all i(every element) already filled. example:
d u c k
You Win!
...ANSWER
Answered 2021-Apr-24 at 13:25Many ways to kill a cat. But off the top of my head, I'd say use something like this whenever the user enters a correct letter:
QUESTION
I'm attempting to use ReportLab to create a 4 x 5 grid of images (per page) from a directory of images, in a similar manner to photographic contact sheets. I need to maintain the aspect ratio of the images and also need the filename of each image underneath.
I originally started by using drawimage and adding everything manually but now I think a table and adding the image and filename into each cell might be a better approach. Can anyone give me some pointers on the best way to do this?
I've spent a few days trying to figure this out and I think I am going around in circles with this. Thank you in advance!
Script as of now;
...ANSWER
Answered 2021-Apr-24 at 12:31So, after a few days of working through some ideas I came up with the below. I am fairly new to this and I'm sure there are better approaches but if it helps anybody:
QUESTION
Below is a table I have created using the Reportlab library, specifically the SimpleDocTemplate from reportlab.platypus:
...ANSWER
Answered 2021-Mar-31 at 17:20reportlab.platypus.SimpleDocTemplate
creates document from flowables. Flowable is a block of content that occupy some vertical space. If you want title before you table, just create paragraph with title style and put it in list before table, if you want to add text after the table, put it after. If you want arbitrary placed text create a function and pass it to SimpleDocTemplate.build
as onFirstPage
argument.
QUESTION
I am trying to build a schedule planner, in a PDF file generated with ReportLab. The schedule will have a different rows depending on the hour of the day: starting with 8:00 a.m., 8:15 a.m., 8:30 a.m., and so on.
I made a loop in which the hours will be calculated automatically and the schedule will be filled. However, since my table is too long, it doesn't fit completely in the page. (Although the schedule should end on 7:30 p.m., it is cutted at 2:00 p.m.)
The desired result is to have a PageBreak when the table is at around 20 activities. On the next page, the header should be exactly the same as in the first page and below, the continuation of the table. The process should repeat every time it is necessary, until the end of the table.
The Python code is the following:
...ANSWER
Answered 2021-Feb-25 at 19:49You should use templates, as suggested in the Chapter 5 "PLATYPUS - Page Layout and TypographyUsing Scripts" of the official documentation.
The basic idea is to use frames, and add to a list element all the information you want to add. In my case I call it "contents", with the command "contents.append(FrameBreak())
" you leave the frame and work on the next one, on the other hand if you want to change the type of template you use the command "
contents.append(NextPageTemplate(''))
"
My proposal:
For your case I used two templates, the first one is the one that contains the header with the sheet information and the first part of the table, and the other template corresponds to the rest of the content. The name of these templates is firstpage and laterpage.The code is as follows:
QUESTION
I am trying to create a simple table in Reportlab which lists student names. However this table is 100+ rows long so will not fit on one page. I am looking for the table to split when it becomes too big to fit on one page, and continue on a second page and so on. I am also looking for the 'Student Report:' title to remain at the top of each page.
I have used the code below to do so but when I run the code for a table bigger than one page it runs indefinitely. I was hoping someone may be able to help me with this.
Thanks a million in advance, I really appreciate it!
...ANSWER
Answered 2021-Feb-20 at 22:22I think what you're running into is that a canvas is a single page. You need to use a document template so the flowable knows what to do when it gets to the end of the page.
... I don't have Pandas or Numpy so I couldn't test this, and the 1st page header & spacer will likely to need adjusting, but I think you want something like:
QUESTION
I have the Plaid Quickstart (node) up and running.
I successfully logged in to one of the sandbox institutions (First Platypus Bank) using the sandbox credentials and got the access_token which it generated.
Per the Link Update Mode docs (https://plaid.com/docs/link/update-mode/), you should be able to "force a given Item into an ITEM_LOGIN_REQUIRED state".
From the docs I linked to above...
Update mode can be tested in the Sandbox using the /sandbox/item/reset_login endpoint, which will force a given Item into an ITEM_LOGIN_REQUIRED state.
I used Postman (in the Sandbox Public environment) to send an API call to this endpoint, https://sandbox.plaid.com/sandbox/item/reset_login, to force the ITEM_LOGIN_REQUIRED state.
This is the body sent with the API call...
...ANSWER
Answered 2021-Feb-15 at 18:40The process you describe sounds right, but the API request and response bodies in your post are the request and response for /link/token/create, not /sandbox/item/reset_login. Can you verify that you didn't accidentally call /link/token/create instead of calling /sandbox/item/reset_login?
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