The Fibonacci sequence with MLtraq

Michele Dallachiesa — Thu, 07 Mar 2024 08:56:24 +0000

In mathematics, the Fibonacci sequence is a sequence in which each number is the sum of the two preceding ones, starting with [0, 1].

Let's calculate the first ten values of the sequence with the init_fields step factory function to initialize the accumulator variable, using the step function to determine the next value in the sequence.

from mltraq import create_experiment, Run
from mltraq.steps.init_fields import init_fields


def step(run: Run):
    run.fields.F.append(run.fields.F[-1] + run.fields.F[-2])


print(
    create_experiment()
    .execute(init_fields({"F": [0, 1]}))
    .execute([step] * 8)
    .runs.first()
    .fields.F
)

# Output

[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]

Learn more about the superpowers of MLtraq at https://mltraq.com/

Track and Collaborate on AI Experiments with MLtraq

Michele Dallachiesa — Tue, 05 Mar 2024 15:41:53 +0000

MLtraq is an open-source Python library for AI developers to design, execute and share experiments. Track anything, stream, reproduce, collaborate, and resume the computation state anywhere.

Example: Parallel execution of runs

MLtraq lets you analyze the result of thousands of AI experiments modeled as state monads after executing them in parallel in just a few lines of code:

from random import uniform

from mltraq import Run, create_experiment


def step(run: Run):
    run.fields.v = uniform(0, 1)


create_experiment(). \
  add_runs(i=range(1000)). \
  execute(step). \
  runs.df().v.mean()

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Forem: Michele Dallachiesa

The Fibonacci sequence with MLtraq

Track and Collaborate on AI Experiments with MLtraq

Example: Parallel execution of runs