varz | Painless optimisation of constrained variables | Machine Learning library

 by   wesselb Python Version: 0.8.1 License: MIT

kandi X-RAY | varz Summary

kandi X-RAY | varz Summary

varz is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. varz has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install varz' or download it from GitHub, PyPI.

Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX.
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            kandi-support Support

              varz has a low active ecosystem.
              It has 15 star(s) with 3 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of varz is 0.8.1

            kandi-Quality Quality

              varz has no bugs reported.

            kandi-Security Security

              varz has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              varz is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              varz releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed varz and discovered the below as its top functions. This is intended to give you an instant insight into varz implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            varz Key Features

            No Key Features are available at this moment for varz.

            varz Examples and Code Snippets

            Varz,Manual,Automatic Naming of Variables
            Pythondot img1Lines of Code : 58dot img1License : Permissive (MIT)
            copy iconCopy
            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   
            Varz,Examples,PyTorch
            Pythondot img2Lines of Code : 22dot img2License : Permissive (MIT)
            copy iconCopy
            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 (  
            Varz,Examples,TensorFlow
            Pythondot img3Lines of Code : 22dot img3License : Permissive (MIT)
            copy iconCopy
            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

            QUESTION

            Adding new columns to R dataframe from another, longer dataframe
            Asked 2021-Apr-21 at 00:54

            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 00:32

            If the selected columns are having unique values, then use distinct and do a join by 'subject'

            Source https://stackoverflow.com/questions/67187846

            QUESTION

            Call multiple attributes from one class into another - Python
            Asked 2021-Apr-14 at 17:49

            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 17:49

            QUESTION

            Plotly-Dash: Update a trace on a graph that doesn't have its own dropdown
            Asked 2020-Sep-30 at 15:34

            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 21:37

            Just 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:

            Source https://stackoverflow.com/questions/64127021

            QUESTION

            extract variable between {{}} using Regex
            Asked 2020-Jun-03 at 15:07

            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 15:07

            Use this: {{([^{}]+)}} This will make sure that whatever we are getting will be between {{}}

            Source https://stackoverflow.com/questions/62176127

            QUESTION

            AttributeError: 'numpy.float64' object has no attribute 'to_numpy'
            Asked 2020-Apr-25 at 20:12

            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 19:35

            varj 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.

            Source https://stackoverflow.com/questions/61430996

            QUESTION

            Error CoordTern requires the following missing aesthetics (tlr->xy) : z when using ggtern in Shiny
            Asked 2020-Apr-18 at 18:05

            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 18:05

            I 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.

            Source https://stackoverflow.com/questions/61192522

            QUESTION

            Line plot with error bars in which each line is a different group and multiple variables are in the x axis
            Asked 2020-Feb-12 at 12:58

            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 12:58

            Before 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

            Source https://stackoverflow.com/questions/60179020

            QUESTION

            Why is my Fibonacci 6502 malfunctioning for 144 and 233?
            Asked 2020-Feb-06 at 10:02

            The following program:

            ...

            ANSWER

            Answered 2020-Feb-06 at 10:02

            The way you decide to loop back to print_digits is incorrect:

            Source https://stackoverflow.com/questions/60088976

            QUESTION

            In R, how do I randomly select (and average) groups of 3 and (and the remaining 2) variables among 5?
            Asked 2020-Feb-04 at 02:54

            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 02:54

            Using base R, we can use row-wise apply

            Source https://stackoverflow.com/questions/60049646

            QUESTION

            sending integers over serial in arduino
            Asked 2019-Oct-18 at 10:11

            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 10:11

            Let'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.

            Source https://stackoverflow.com/questions/58447816

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install varz

            See the instructions here. Then simply.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install varz

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            https://github.com/wesselb/varz.git

          • CLI

            gh repo clone wesselb/varz

          • sshUrl

            git@github.com:wesselb/varz.git

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