Data - Tag - Jorgen Bergstrom

Data - Tag - Jorgen Bergstromhttps://bergstrom.org/tags/data/Data - Tag - Jorgen BergstromHugo -- gohugo.ioen-usJorgen BergstromSun, 26 May 2024 00:00:00 -0500Hammer Throw: Generate Training Datahttps://bergstrom.org/posts/hammer_throw_generate_training_data/Sun, 26 May 2024 00:00:00 -0500Jorgen Bergstromhttps://bergstrom.org/posts/hammer_throw_generate_training_data/Training Data All machine learning algorithms require data for training the model. In this example, we can use physics calculations to generate a dataset with two input variables: velocity and angle, and one output variable: flight distance. The following Python code creates an input file named data_X.csv containing the input variables, and a results file with the flight distance. These files will be used in subsequent machine learning demonstrations. import math import numpy as np import csv def calc_distance(angle, velocity): # fixed input parameters g = 9.