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: "The model.pkl file contains a serialized version of the model"

A block of code is set as follows:

import mlflow
from sklearn.linear_model import LogisticRegression
mlflow.sklearn.autolog()
with mlflow.start_run():
    clf = LogisticRegression()
    clf.fit(X_train, y_train)

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

docker build -t stockpred -f dockerfile

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: "MLflow is an open source platform for the machine learning (ML) life cycle"

Tips or important notes

Appear like this.