ajthor/antiderivative_polynomial

Antiderivative Polynomial Dataset

Dataset Summary

The Antiderivative Polynomial dataset is a collection of polynomial functions and their antiderivatives. The dataset is generated using polynomial functions and their antiderivatives.

Plot from the dataset:

[image]

Dataset Structure

The dataset is structured as follows.

Subsets

The dataset is divided into two subsets:

• —default: the default dataset.
• —aligned: the X values are aligned for all functions.

Splits

The dataset is divided into two splits:

• —train: the training split, consisting of 10,000 rows.
• —test: the test split, consisting of 1,000 rows.

Columns

Each row in the dataset consists of the following columns:

• —X: the input value of the function f.
• —f: the value of the function f at X.
• —Y: the input value of the antiderivative Tf.
• —Tf: the value of the antiderivative Tf at Y.

Data

The dataset contains the following data: