rebel | play reinforcement learning and search | Game Engine library

I'm trying to apply text categorization using Keras. I have imported my data as a Pandas dataframe and have converted it to a tf.Dataset. The problem is that I cannot use the TextVectorization layer of Keras as the below code throws this error:

AttributeError: 'NoneType' object has no attribute 'ndims'

My CSV's headers:

• Class Index : int32
• Title: string
• Description: string

What have I missed ? Below is my code:

I try to filter expression from a configuration file under Linux mixing bash command line tools and Perl commands in a pipe.

I have a configuration file (see section configuration) and can filter the relevant lines by using `

Exception in thread "rebel-messaging-executor-44" java.lang.NoSuchMethodError: sun.security.ssl.InputRecord._jr$ig$handshakeHash(Ljava/lang/Object;)Lsun/security/ssl/HandshakeHash;

System Details:

• Java 11.0.12
• Hybris 2005.0
• jrebel-2021.4.1

I have downloaded the JRebel zip file then unizipped it. Also, installed the JRebel IntelliJ plugin.

local.propeties

Trying to get a little practice in decoding JSON data, and I am having a problem. I know the URL is valid, but for some reason my decoder keeps throwing an error. Below is my model struct, the JSON object I'm trying to decode, and my decoder.

Model Struct:

i have this contact form, what i am trying to figure out is how to put it in the gray field and the blue header to stay on top of it as it is shown on the picture attached.

Please, see the picture attached of what i am trying to achieve or the following link - https://motopara.com/imagetest.html

Any help will be highly appreciated.

Thank you very much for the help.

I have index and data described here, and also I have set analyzer to stop analyzer. That works fine, because when I try simple search like POST https://serverURL/_search?pretty=true

I tried to cluster my dataset using K-mean, but there is a categorical data in column 9; so when I ran k-mean it had an error like this:

I ran multiple imputation to impute missing data for 2 variables of a data frame, then I got a new data frame (with 2 columns for 2 imputed variables).

Now, I want to replace the 2 columns in the original data frame with the two newly imputed columns from my new dataframe. What should I do?

Original data frame new data frame for imputed variables

This is the code I used. Only 2 columns in this data frame are missing data, so I only imputed those two. Is that ok? Can you please suggest me a better way?

I am making a code which takes in jumble word and returns a unjumbled word , the data.json contains a list and here take a word one-by-one and check if it contains all the characters of the word and later checking if the length is same , but the problem is when i enter a word as helol then the l is checked twice and giving me some other outputs including the main one(hello). i know why does it happen but i cant get a fix to it