Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Step 1: Algorithm :
Algorithm: mat_to_prob(R)
Input:
- R: A 2D numpy array representing the input matrix.
Output:
- P: A 2D numpy array where each row is a probability vector.
Step 1: Import the required libraries.
- Import numpy as np
- From scipy.special, import softmax
Step 2: Define the function mat_to_prob(R) as follows:
2.1: Calculate P using softmax function:
- P = softmax(R, axis=1)
2.2: Return P as the result.
Step 3: End of the function.
Sample Inputs and Outputs:
- Call mat_to_prob with sample input matrices.
- Print the resulting probability matrices.
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