joreilly86

"""
Flocode Newsletter #062 - Machine Learning for Engineers: When and How Should We Use it?

This script demonstrates a simple application of machine learning (ML) to a
structural engineering problem: predicting the required depth of a steel beam
based on its span and applied uniformly distributed load (UDL). It compares
three ML models (linear, non-linear, and deep non-linear neural networks)
with a traditional calculation based on the bending moment formula.

The key concept is that the ML models are trained on data *derived* from the

juanmc2005

import logging
import os
import sys
import traceback
from contextlib import contextmanager

import diart.operators as dops
import numpy as np
import rich
import rx.operators as ops

Lihi-Gur-Arie