02.1 Batch predictions via scheduling
<p>This workflow demonstrates how to calculate predictions in <strong>batch</strong> on a regular basis. It can be <strong>scheduled</strong> on KNIME Hub.</p>
Nodes
- Model Reader2 ×
- Space Connector2 ×
- Spark SQL Query2 ×
- Column Renamer1 ×
- Databricks Workspace Connector1 ×
- Date&Time Configuration1 ×
- Date&Time Shift1 ×
- KNIME Hub Authenticator1 ×
- Parquet to Spark1 ×
- Spark Column Filter1 ×
- Spark Missing Value (Apply)1 ×
- Spark Predictor (Regression)1 ×
- Spark to Parquet1 ×
- String to Date&Time1 ×
- Table Row to Variable1 ×
- Variable to Table Row1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Databricks Integration
- FeatureKNIME Extension for Apache Spark
- FeatureKNIME Extension for Apache Spark (legacy)
- FeatureKNIME Quick Forms
- Show all 6 modules
Links
- No links available