hyp | Partial JSON API implementation in Python | REST library
kandi X-RAY | hyp Summary
kandi X-RAY | hyp Summary
Hyp is a library implementing the must parts of the [JSON-API] response specification. This means that you can use Hyp to serialize your models into responses that contain links and linked compound documents. It works really good in combination with your micro web framework of choice, preferably [Flask] It has built in support for both [Schematics] and [Marshmallow] in the sense that you can use any of them for serializing your models (or primitives) into JSON that Hyp creates responses from. To add support for more data serialization libraries such as [Colander] should be trivial. Depending on which serialization library that you would like to use make sure to add it to your app’s requirements.
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Top functions reviewed by kandi - BETA
- Build resource links .
- Builds a resource document .
- Build root resource .
- Build root links .
- Convert instance to model .
- Pick a key from an instance .
- Call the adapter .
- Initialize the schema .
hyp Key Features
hyp Examples and Code Snippets
Community Discussions
Trending Discussions on hyp
QUESTION
I have a data.table and wish to do ks.test by grouping columns and compute p.value row-wise
...ANSWER
Answered 2021-May-30 at 09:36We can use rowwise -
QUESTION
I have a subprocess that constantly listens to the microphone, converts the audio to text and stores the result. The code for this is
...ANSWER
Answered 2021-Mar-20 at 06:40You can try something like this:
QUESTION
I'm following this guide without changing anything. I'm using an aws server with deep learning ami: Deep Learning AMI (Ubuntu 18.04) Version 40.0
I've tried to change my custom dataset to the coco dataset and to a small subset of the custom one. batch size doesn't seems to matter, CUDA and other drivers seems to work.
The exception is thrown when the batch starts the training process. This is the full stack trace:
...ANSWER
Answered 2021-Mar-08 at 12:29I fixed it using conda, I cloned the pytorch environment one which came with the image and it works perfectly. I still don't know the cause though.
QUESTION
I want to implement the Gradient Descent Algorithm on this simple data but I am facing problems. It would be great if someone points me in the right direction. The answer should be 7 for x=6 but I'm not getting there.
...ANSWER
Answered 2021-Mar-16 at 23:56You are calculating the gradients incorrectly for all but the first iteration. You need to set both gradients to 0 in the outer for loop.
QUESTION
I am following some online tutorial to change a certain column (hyp) in nhanes dataset to a dummy variables with the package caret as follows:
...ANSWER
Answered 2021-Mar-15 at 00:07You can do this easily without the caret package. For example:
QUESTION
I want to print the output from densityplot() from the mice package (densityplot method for mids objects), each to a separate page on a PDF. For the MWE below, I want to print one plot on each page (i.e., bmi on page 1, then hyp on page 2, then chi on page 3).
ANSWER
Answered 2021-Mar-05 at 17:25you mean something like this:
QUESTION
Currently I was given a table with psql format and would like to load its content in a pandas dataframe. The file looks like this (this is a sample of the real file which has hundreds of rows):
...ANSWER
Answered 2021-Feb-18 at 11:36It's a case of being systematic. There are cases of pipe delimited and space delimited
read_sql_table()is not suitable, it connects to a database- `read_table() as first pass, skipping header rows and using pipe as delimited
- cleanup the columns
- strip leading/trailing spaces
- ensure no embedded spaces in column names to prevent issues with subsequent step
- drop redundant columns which are artifact of pipe denim
- remove unwanted rows that are the row delimiters
- pass through
read_csv()with space as delimiter to get wanted DF
QUESTION
I got this Error:
...ANSWER
Answered 2021-Feb-17 at 15:40I finally find it. The problem was, I was using the new CUDA 11.2. That's bad. I remove it. and install CUDA 10.2. That fix the problem.
QUESTION
I have this piece of code
...ANSWER
Answered 2021-Jan-27 at 19:21This will do it. You just need to extract the zero index of each tuple and compare it to hyp:
QUESTION
In my plot below, d_math and d_hyp are each {0,1} variables. Given this fact, in my plot below, I was wondering if we can combine the two plots into one, just like in the desired plot further below?
ps. I'm open to any R packages.
...ANSWER
Answered 2021-Jan-23 at 20:00We could use tidyverse to create a single plot. Loop over the list of allEffects output with imap, convert to tibble, select the columns needed, row bind the list elements to single dataset (_dfr), unite two columns to a single, and use ggplot for plotting
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Install hyp
You can use hyp 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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