ordinal | Ordinal Triplet Loss | Machine Learning library

I want to read postgres table into a data frame for a data engineering pipeline. I am using Airflow to scheduled these tasks. I have created a connection in Airflow called postgres_product_db and tried to use get_pandas_df to fetch the records .

Analyzing ordinal data with the survey package, I encountered some issues when trying to use raked data. Without raking, svyolr() works without any problem, but when I try to analyze after raking, svyolr encounters an error Error in if (any(y < 0 | y > 1)) stop("y values must be 0 <= y <= 1") : missing value where TRUE/FALSE needed.

The problem can be reproduced with the example data set api:

I want to create a GUI in C# that will be used to run keytool on cmd.exe behind the scenes to create a keystore, including a key, and certificate data.

Input data then requires

• Keystore path
• Password
• Key alias
• Key password
• Validity
• Certificate info (cn, ou, o, l, st and c)

Unfortunately people may type special characters in their passwords and also space is allowed in the certificate info.

Overall I am worried someone may input some information somewhere that can result in a disastrous command running behind the scenes once this is called (like rm -rf *).

Is there a way to pass a java properties file with the input information to keytool or is there any way that I can safely escape all the data that is passed as string parameters to keytool?

I could not find any type of file that keytool could take, even in separate steps, that would eliminate this issue.

here's the unsafe code (warning: IT'S UNSAFE!!):

I am trying to remove the 'em dash' from a pandas DataFrame. I have tried a bunch of different suggestions. But none of them are working.

This is what I have got

New edit: it looks like C++20 has a new ranges library, which does what I want from the functional point of view. How would something similar be done on C++17 or earlier? Also, would the Kotlin syntactic sugar be possible? Mainly the person example:

Description:

I am playing around with Observable Plot an really like how easy it is to set up simple plots.

Now I have a little "more advanced" chart that I want to plot and need help.

In my data, I have multiple temp (temperature) readings recorded at a certain timestamp. Each reading comes from a sensor, and each sensor is attached to a certain device (multiple sensors (e.g., 1-3) can be attached to a single device (e.g., 2)). Thus, one data point might look like the following (see bottom script for a full minimal workabel example):

I have the following synchronous code, which works fine:

I am conducting a study of a number of patients with a disease, and using an ordinal scale assessment of functional status at 3 different time points. I want to connect multiple groups in stacked bar charts across these time points.

I looked at these topics and havent gotten it to work using these suggestions:

How to position lines at the edges of stacked bar charts

Is there an efficient way to draw lines between different elements in a stacked bar plot using ggplot2?

Draw lines between different elements in a stacked bar plot

Please see the graphical representation of how I ultimately want this figure to look from R (generated in PRISM) of the frequencies of each of these 6 ordinal values across the three time points (top group has no patients with ordinal score 3,5,6):

Intended FIGURE using PRISM

Data:

I am trying to convert a hierarchy from a currency holiday table to select the specific date occurrence for 2022.

Source table: