File Exchange > Data Analysis >    Poisson Regression

Author:
OriginLab Technical Support
Date Added:
7/27/2023
Last Update:
1/11/2024
Downloads (90 Days):
178
Total Ratings:
0
File Size:
137 KB
Average Rating:
File Name:
Poisson_Re...on.opx
File Version:
1.00
Minimum Versions:
License:
Free
Type:
App
Summary:

Perform poisson regression with Python.

Screen Shot and Video:
Description:

Purpose

This App provides a tool for fitting data with Poisson Regression model. It fits a dataset with one dependent variable and multiple independent variables. You can further use it to predict the response of independent variables. 

Notes:

  • It needs Embedded Python and scikit-learn library. Other dependent libraries include numpy

Installation

  1. Download the Poisson Regression.opx file, then drag-and-drop onto the Origin workspace.
  2. The App will start downloading dependent Python libraries. Wait a few minutes until the download is completed and restart Origin.

Operation

  1. Activate a worksheet. Click the App icon to bring up the dialog.
  2. On Input Data tab, select single or multiple worksheet columns for Independent Variables and specify Dependent Variable by selecting a single worksheet column.
  3. On Options tab, change settings to fit the model
    • Maximum Iterations: Maximum number of iterations. The solver iterates until convergence or this number of iterations.
    • Tolerance: Stop the algorithm if the fitting parameter has converged.
    • Alpha: Constant that multiplies the L2 penalty term and determines the regularization strength.
    • Solver: Algorithm to use in the optimization problem.
    • Include Intercept: Whether to calculate the intercept for this model.  
  4. On Prediction tab, you can select a range of independent data to predict the response with the fitted neural network.
  5. Click OK to output reports.

Updates:

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