Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “Install Jupyter Notebook (pip install notebook).”

A block of code is set as follows:

import numpy as np 
from sklearn.linear_model import LinearRegression 
# Prepare sample input data with two features (feature 1, feature 2 
X = np.array([[10, 10], [10, 20], [20, 20], [20, 30]]) 
# Assume that target feature has some relationship with the input features with the formula y = 3 * x_1 + 5 * x_2 + 50 
y = np.dot(X, np.array([3, 5])) + 50

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

SELECT DEPTNO, DEPTNAME, MGRNO, MGRNAME, MGREMAILID,LOCATION FROM DEPARTMENT;

Any command-line input or output is written as follows:

!pip3 install tmlt-analytics
!pip3 install onnx --user

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “The attacker's code aims to execute a model extraction attack by training a new LogisticRegression model (extracted_model) on the same dataset”

Tips or important notes

Appear like this.