Different chunking methods
A chunk represents a single data point in the monitoring results. Recall that there are three methods for chunking your data: based on time, size, or the number of chunks.
In this exercise, you will chunk and visualize the results of the CBPE algorithm for the US Census dataset using size-based and number-based chunking methods.
The nannyml library is already imported.
Latihan ini adalah bagian dari kursus
Monitoring Machine Learning in Python
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
reference, analysis, analysis_gt = ____.____()
# Initialize the CBPE algorithm
cbpe = nannyml.CBPE(
y_pred_proba='predicted_probability',
y_pred='prediction',
y_true='employed',
metrics = ['roc_auc', 'accuracy'],
problem_type = 'classification_binary',
____ = ____,
)
cbpe = cbpe.fit(reference)
estimated_results = cbpe.estimate(analysis)
estimated_results.plot().show()