mealy | Model Error Analysis for scikit-learn models | Machine Learning library
kandi X-RAY | mealy Summary
kandi X-RAY | mealy Summary
mealy is a Python package to perform Model Error AnaLYsis of scikit-learn models leveraging an Error Tree. The project is currently maintained by Dataiku's research team. This is an alpha version.
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mealy Examples and Code Snippets
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QUESTION
I was trying to run some simple behavioral simulations in Xilinx Vivado, but then I got the error -
[Common 17-1293] The path 'D:/Deepan/Text Books/internship/test/test.cache/wt' already exists, is a directory, but is not writable.
The Verilog files that I wanted to run used to work perfectly before, but suddenly it broke.
I made sure that the directory has proper access and was not stuck at read-only, still, I kept getting the error.
I kept getting the same error for both v2021.1 and v2020.3.
The files I wanted to run -
...ANSWER
Answered 2021-Aug-25 at 12:27I figured out the solution to my own problem. Vivado sometimes doesn't allow spaces in file paths( I had a space in Text Books
). This applies to the entire project as well as the imported files.
Simply removing the space fixed the issue.
QUESTION
I'm trying to implement a very simple Mealy state machine in Verilog. I have already done it with case
and if
statements, but I want to be able to do the same using a 2D array as transition table, for clarity.
Here is the code:
...ANSWER
Answered 2021-Aug-21 at 12:38I have replaced the matrix declaration by the followin:
QUESTION
I'm trying to make my own syntax highlighting in Ace. So far I did this:
- cloned ace repo
git clone https://github.com/ajaxorg/ace.git
- used Iro to design some syntax. Later I pasted the code generated by Iro into mode creator and it seems to be working perfectly fine.
- I copied the code generated by Iro and put it in
ace/lib/ace/mode/mealy.js
- run
npm install
inace
directory - run
node ./Makefile.dryice.js
inace
directory. I ac successfully seeace/build/src/mode-mealy.js
. - I created this embedding code
ANSWER
Answered 2020-Jun-28 at 14:16There are several things wrong with this approach, but it's pretty close. It's best to follow this guide for a full and detailed instruction https://aleksander-mendoza.github.io/syntax_highlighter.html
QUESTION
I'm building a visitor counter in my room using Arduino, IR transmitter, and two SHARP IR sensors. The sensors count the number of people in my room - one person turns up the light, more do nothing, and zero turns the light off. The IR transmitter works great (it turns the light on/off) so as the detection, but I have a problem and a question.
My question is, is there an option to make a function and call it twice instead of repeating myself inside the loop? if so, how? they are mostly symmetric, but still have some differences like the flags and num_people manipulating.
My main problem right now is counting num_people and I found out that this line is the problem: num_people = (num_people > 0) ? num_people-1 : 0;
When I put this line in a comment I can count more than one person, but when I'm not it runs over the code and counts 1,0,1,0,1,0 (only when getting inside the room). Need to say that when I go out it decreases num_people as it should and when on zero keeps that number.
The code is here:
...ANSWER
Answered 2020-Apr-18 at 15:17is there an option to make a function and call it twice instead of repeating myself inside the loop? if so, how? they are mostly symmetric, but still have some differences like the flags and num_people manipulating.
For sure your two parts are very similar, and this is more visible changing the order of the expressions in the 2 ifs.
For instance in the second part you have
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Install mealy
Error Analysis on scikit-learn model presents a basic error analysis on a regression model for structured data.
Error Analysis on pipeline model presents a basic error analysis on a classification pipeline for structured data.
Let (X_train, y_train) be the training data of the model to analyze, and (X_test, y_test) its test set. The Model Error Analysis can be performed as:.
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