varz | Painless optimisation of constrained variables | Machine Learning library
kandi X-RAY | varz Summary
kandi X-RAY | varz Summary
Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX.
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Top functions reviewed by kandi - BETA
- Decorator for lbfgs_b
- Validate keyword arguments
- Pack a list of objects
- Returns a vector of the given names
- Create orthogonal matrix
- Check the shape
- Resolve dtype
- Get a new latent variable
- Wrap a function f into a function
- Throw an exception
- Return a copy of this Vars
- Decorator that converts a function into keyword arguments
- Extract prefix and f
- Decorator to make an adam
- Perform a single step
- Decorator to convert a function to sequential variants
- Convert x to a sequence
- Lower triangular matrix
- Create a new scalar variates
- Creates a random vector
- Assign a variable
- Deprecated
varz Key Features
varz Examples and Code Snippets
def objective(vs):
x = vs.get(5, name="x")
y = vs.get(10, name="y")
return (x * y - 5) ** 2 + x ** 2
from varz import sequential
@sequential
def objective(vs):
x = vs.get(5) # Initialise to 5.
y = vs.get() # Initialise
import torch
from varz.torch import Vars, minimise_l_bfgs_b
target = torch.tensor(5.0, dtype=torch.float64)
def objective(vs):
# Get a variable named "x", which must be positive, initialised to 10.
x = vs.pos(10.0, name="x")
return (
import tensorflow as tf
from varz.tensorflow import Vars, minimise_l_bfgs_b
target = 5.0
def objective(vs):
# Get a variable named "x", which must be positive, initialised to 10.
x = vs.pos(10.0, name="x")
return (x ** 0.5 - target)
Community Discussions
Trending Discussions on varz
QUESTION
I have 2 dataframes with different information (there's only 1 column which is the same across both dataframes: subject
). Also, one of the dataframes is longer than the other (more columns and more rows).
So, I have something like this:
...ANSWER
Answered 2021-Apr-21 at 00:32If the select
ed columns are having unique values, then use distinct
and do a join by 'subject'
QUESTION
I'm working with multiple classes that share some initial common variables/attributes. In order to make it cleaner and avoid calling the same variables multiple times I want to set them all in an initial class (e.g. classA
) and then load all this attributes in a classB
.
So I would define:
...ANSWER
Answered 2021-Apr-14 at 17:49You could use argument unpacking and inheritance:
QUESTION
This question is basically an addendum to this previously asked question:
Properly setting up callbacks for dynamic dropdowns plotly dash
Now, I want to add a second trace to my plots which would be on a secondary y-axis. The data for the plot on the secondary y-axis would come from a similarly structured dict and dataframe, with similar naming conventions as well. Here is what I have.
...ANSWER
Answered 2020-Sep-29 at 21:37Just to see if I'm understanding your logic correctly here, I'm going to build on the snippet in the answer to the linked question, and not the snippet you've provided here. If it turns out that the structure of the app produced by the snippet below is in fact what you're looking for, I'll see if I can work that into the code snippet in this question. (But first, please provide a fully working snippet with necessary imports).
The logic:As you'll see by studying the snippet below, this suggestion is limited to showing a related column ('2m_temp_prod'
versus '2m_temp_area'
) on the secondary y-axis from another dict, but for the same category like 'corn'
or 'soybeans'
. So if the primary axis shows '2m_temp_prod'
for ''corn
from 'df_vals_prod'
on the primary axis, then the secondary yaxis shows '2m_temp_area'
for 'corn'
from 'df_vals_prod'
.
To follow the described logic, a key addendum in the updated code snippet is:
QUESTION
I have a string in this format {{varx.vary}}, {{varz.varu}} and {{var1.var2.var3}
i have written a regex expression ([^{}]+)
that match all the fields between {} but am not able to get it to work for fields between double {{}} and ignore if only single curly bracket from one or both sides
ANSWER
Answered 2020-Jun-03 at 15:07Use this: {{([^{}]+)}}
This will make sure that whatever we are getting will be between {{}}
QUESTION
I'm very new at Python and I don't understand why this error occurs. Here's the code I wrote :
...ANSWER
Answered 2020-Apr-25 at 19:35varj
seems to be of type numpy.float64
so you can't convert it to a numpy datatype anymore. Since you mentioned that you want to use to_numpy
in order to invert a matrix, you probably want to apply it to your dataframe instead.
QUESTION
I am trying to write a Shiny app that reads a file with the composition of three component systems and plots the ternary phase diagram using the ggtern package.
I can do this in basic R but when trying to implement it as part of Shiny I get and error which I am not sure how to fix:
Error:CoordTern requires the following missing aesthetics (tlr->xy) : z
The app consists of fileInput widget and three selectInput widgets part of a renderUI functions so that the user can select the variable for each corner of the ternary plot from the file.
I am using the latest library versions: ggplot2 3.3.0 and ggtern 3.3.0
This is the content of the ‘.csv’ file as a data frame:
...ANSWER
Answered 2020-Apr-18 at 18:05I found the answer to my problem from another stack overflow question (https://stackoverflow.com/a/55102305/11234102). It worked although the answer was provided to resolve a different problem. The ggtern function needs to be put in a print() command.
QUESTION
I'm trying to create a line plot with error bars in R/Rstudio, in which each line is a different group (coded by one variable) and different continuous variables compose the x axis. Taking the dataset diamonds as examples, it would be a multiple line graph, in which each line is one category of the variable "color and x,y,z are variables in whose levels are in the y axis, but they are positioned in the x axis. the head of diamonds in R is: (as coded in R studio :
...ANSWER
Answered 2020-Feb-12 at 12:58Before we start, we will plot x,y,z columns from diamonds,and because x and y and very close, i subtract 1 from y so we can see it, and also introduce some error for error bars
QUESTION
The following program:
...ANSWER
Answered 2020-Feb-06 at 10:02The way you decide to loop back to print_digits
is incorrect:
QUESTION
I have 400 rows that have a bunch of columns, with the last five being: a,b,c,d,e
For each row, I want to randomly select three of the above 5 variables and do rowmeans(varx,vary,varz) to make column trio_average, and the other two making pair_average.
For example, one row might be the mean of b,d,e for column "trio_average" and the mean of a,c for "pair_average", and the next might be the mean of a,c,e and b,d.
I did this in a pretty roundabout way...I used "randomizr()" to generate a variable called "trio_set" with 400 random (conditional random to keep them all equal) trios of the 5 variables. There's 10 possible combinations of the 5 variables so I have 40 each of for example "a_c_e", "b_c_d" etc.
Then, I used a series of 10 if_else statements:
...ANSWER
Answered 2020-Feb-04 at 02:54Using base R, we can use row-wise apply
QUESTION
I am trying to send integers over serial using the serial monitor in the ardunio IDE (then python from a raspberry pi after I debug using serial monitor), and can get single numbers to work with code below, but as soon as I use 10 or 100 it will automatically fill the next variable as 0. I have tried to use serial.readString
then convert to an int afterwards, but this is throwing an error also.
ANSWER
Answered 2019-Oct-18 at 10:11Let's think about what your functions are doing.
Serial.available() returns the number of bytes available in the receive buffer.
Serial.parseInt() reads any digit until a non-digit character is received or it times out if no digit is received within 1 second (default). In that case it returns 0.
So in your while loop you wait until something is in the receive buffer by checking Serial.available() > 0.
You enter 100 (without a line ending). Now that something is in the receive buffer and varCounter is 0, you execute varX = Serial.parseInt();
parseInt will time out after 1 second and return the 100 that has been received within that 1 second.
The 100 is stored in varX and varCounter is incremented by 1.
Now you execute varY = Serial.parseInt();
As you most likely did not enter another number within a second, this will timeout and you'll store 0 in varY.
Terminate your number with a non digit character. For example by selecting a line ending in the serial monitor or by sending a newline or carriage return from Python code. Or any other single non-digit character. That way Arduino knows that the complete Integer has been received and it does not have to wait until it times out.
If you want your code to wait forever for your next input, check Serial.available > 0
befor your next call to parseInt
. You already read every number form the receive buffer so calling parseInt
right away doesn't make sense unless you know for sure that you'll receive another number within a second.
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