Fernando Marcos Wittmann WittmannF

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

	import mlflow

	# There are two ways to create parent/child runs in MLflow.

	# (1) The most common way is to use the fluent
	# mlflow.start_run API, passing nested=True:
	with mlflow.start_run():
	num_trials = 10
	mlflow.log_param("num_trials", num_trials)
	best_loss = 1e100

	import matplotlib.pyplot as plt
	import keras.backend as K
	from keras.callbacks import Callback


	class LRFinder(Callback):

	'''
	A simple callback for finding the optimal learning rate range for your model + dataset.