nueramic-mathml 0.1.5

Math algorithms in ML on torch

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Nueramic MathML

Nueramic-mathml is a library for visualizing and logging the steps of basic optimization algorithms in machine learning. The project uses torch for calculations and plotly for visualization.

pip install nueramic-mathml

Quick tour

Optimization

You can minimize the functions and see a detailed description of each step. After minimizing, you have a history with complete logs. Also available multidimensional optimisation.

def f(x): return x ** 3 - x ** 2 - x  # Minimum at x = 1
bounds = (0, 3)
one_optimize.golden_section_search(f, bounds, epsilon=0.01, verbose=True)[0]

Iteration: 0        |        point = 1.500  |        f(point) = -0.375
Iteration: 1        |        point = 0.927  |        f(point) = -0.990
Iteration: 2        |        point = 1.281  |        f(point) = -0.820
Iteration: 3        |        point = 1.062  |        f(point) = -0.992
Iteration: 4        |        point = 0.927  |        f(point) = -0.990
Iteration: 5        |        point = 1.011  |        f(point) = -1.000
Iteration: 6        |        point = 0.959  |        f(point) = -0.997
Iteration: 7        |        point = 0.991  |        f(point) = -1.000
Iteration: 8        |        point = 1.011  |        f(point) = -1.000
Iteration: 9        |        point = 0.998  |        f(point) = -1.000
Iteration: 10       |        point = 1.006  |        f(point) = -1.000
Searching finished. Successfully. code 0
1.0059846881033916

Models

You can use our models for classification and regression

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