PyCaret is One of the most useful and popular libraries of the python programming language used for machine learning. The reason behind this popularity is that it consists of simple and efficient tools for classification, regression, clustering, dimensionality reduction, model selection, etc. On January 12th, 2022, the new version of PyCaret, PyCaret 2.3.6, was released with new exciting features. In this article, we have covered all the useful and important updates and bug fixes included in the new version of PyCaret. The major points to be discussed in this article are listed below.  
Table of contents
What is PyCaret?
PyCaret is a python open-source machine learning library with the aim of using low code and a low number of hypotheses for insights within a cycle of machine learning experimentation and development.  Using this library we can perform end-to-end machine learning experiments efficiently without consuming so much time. As we discussed, one of the most important advantages of using this library is that we require very little code to perform any machine learning experiment. This advantage of PyCaret enables us to perform highly complex machine learning experiments in a very flexible way. 
One more advantage of PyCaret is that it is very simple to use, performing operations using this library automatically stored in the PyCaret Pipeline that is fully orchestrated for and towards the development of models. This library provides facilities using which we can go from data analysis to model development and deployment in a very short time. PyCaret also helps in automating many tasks like adding missing values or transforming categorical data, engineering the present features, or optimizing hyperparameters in the present data. 
While talking about the integration we can integrate this library with many environments supporting Python such as Microsoft Power BI, Tableau, Alteryx, and KNIME. In the below list there are some examples of tasks that can be performed using this library:
We can install this library using the below line of code:
!pip install pycaret[full]
In this article, we are going to discuss new updates (new features or bug fixes) which have come with PyCaret’s new version 2.3.6. So any pre-installed version of PyCaret can be upgraded using the following line of command.
pip install --upgrade PyCaret
To know about the version of PyCaret we can use the following lines of codes.
Now, with the new version of  PyCaret, we are ready to use the following new updates(new features, bug fixes) of the PyCaret.
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In the next section of the article, we will discuss the new features and functions which have been added in the new update.
Added features
In the new version of PyCaret, the following new features have been added:
Output:
Output:
Output:
Output:
dashboard(lightgbm, display_format='inline')
output:
optimize_threshold(lightgbm)
Output:
In this section, we have introduced some of the added features to the PyCaret library which is definitely making the library more user-friendly. There were some small bugs in the library which are also fixed with the new update. In the next section, we look at some of the important bugs which are fixed now.
Bug fixes
Below are some of the important bug fixes in the new release:-
In this section, we have discussed what were the important issues before and with the new updates, contributors of the library have tried and solved them. 
Final words 
In this article, we have seen what PyCaret is. As they have announced here PyCaret 2.3.6 as their new version, they have committed many additional features on it and also performed fixes to some of the important issues. Using these features and updates the library has become more useful than before.  
References:
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