LogRegFromSparkExample (Ignite 2.15.0)

java.lang.Object
- org.apache.ignite.examples.ml.inference.spark.modelparser.LogRegFromSparkExample

```
public class LogRegFromSparkExample
extends java.lang.Object
```
Run logistic regression model loaded from snappy.parquet file. The snappy.parquet file was generated by Spark MLLib model.write.overwrite().save(..) operator.
You can change the test data used in this example and re-run it to explore this algorithm further.

- Field Summary
  
  Fields
  Modifier and Type Field Description
  
  static LearningEnvironment env
  Learning environment.
  
  static java.lang.String SPARK_MDL_PATH
  Path to Spark LogReg model.
- Constructor Summary
  
  Constructors
  Constructor Description
  
  LogRegFromSparkExample()
- Method Summary
  
  All Methods Static Methods Concrete Methods
  Modifier and Type Method Description
  
  static void main(java.lang.String[] args)
  Run example.
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail
- SPARK_MDL_PATH
```
public static final java.lang.String SPARK_MDL_PATH
```
  Path to Spark LogReg model.
  
  See Also:
  
  Constant Field Values
- env
```
public static final LearningEnvironment env
```
  Learning environment.

Constructor Detail
- LogRegFromSparkExample
```
public LogRegFromSparkExample()
```

Method Detail

main

public static void main(java.lang.String[] args)
                 throws java.io.FileNotFoundException

Run example.

Throws:: java.io.FileNotFoundException