Polynomial Regression Learner
KNIME Base Nodes version 4.2.3.v202011031328 by KNIME AG, Zurich, Switzerland
This node performs polynomial regression on the input data and computes the coefficients that minimize the squared error. The user must choose one column as target (dependent variable) and a number of independent variables. By default, polynomials with degree 2 are computed, which can be changed in the dialog.
Options
Regression settings
- Target column
- The column that contains the dependent "target" variable.
- Polynomial degree
- The maximum degree the polynomial regression function should have.
- Column Selection
- Select the columns containing the independent variables and move them to the "include" list.
View settings
- Number of data points to show in view
- This option can be use to change the number of data points in the node view if e.g. there are too many points. The default value is 10,000 points.
Input Ports
- The input samples, which of the columns are used as independent variables can be configured in the dialog. The input must not contain missing values, you have to fix them by e.g. using the Missing Values node.
Output Ports
- The computed regression coefficients as a PMML model for use in the Regression Predictor.
- Training data classified with the learned model and the corresponding errors.
- The computed regression coefficients as a table with statistics related to the training data.
Views
- Learned Coefficients
- Shows all learned coefficients all attributes.
- Scatter Plot
- Shows the data points and the regression function in one dimension.
Best Friends (Incoming)
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- Column Filter (6 %) Streamable
- X-Partitioner (6 %)
- Linear Regression Learner (5 %)
- CSV Reader (5 %)
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Best Friends (Outgoing)
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- PMML Writer (2 %)
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Workflows
01_Accessing_Transforming_and_Modeling_Time_Series (KNIME Hub) - 01_Accessing_Transforming_and_Modeling_Time_Series (KNIME Hub)
- 01-lr-salaries (KNIME Hub)
- 02_Example_for_Predicting_Time_Series (KNIME Hub)
- 02_Inspect_and_Remove_Seasonality (KNIME Hub)
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Installation
To use this node in KNIME, install KNIME Base nodes from the following update site:
A zipped version of the software site can be downloaded here.
You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.
Developers
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