LinearRegression

The interface for working with linear regression models and model summaries is similar to the logistic regression case.

Input

This takes in a DataFrame and performs Logistic Regression

Output

It generates the LinearRegressionModel and passes it to the next Predict and ModelSave Nodes. The input DataFrame is also passed along to the next nodes.

Type

ml-estimator

Class

fire.nodes.ml.NodeLinearRegression

Fields

Details

The interface for working with linear regression models and model summaries is similar to the logistic regression case.

More at Spark MLlib/ML docs page : http://spark.apache.org/docs/latest/ml-classification-regression.html#linear-regression