Component Examples | |||
Integrated Deployment - Credit Scoring | |||
Integrated Deployment and Testing | |||
Workflow Invocation | |||
Autoencoder for anomaly detection | |||
Build an Interactive Dashboard | |||
Build, Execute, and Debug a Loop | |||
Class and Overall Accuracy Statistics | |||
Cohens Kappa | |||
Confusion Matrix | |||
Consume a login (secret) stored on KNIME Business Hub | |||
Convert String to Date&Time Data Type and Extract Date&Time Fields | |||
Create and Modify a Component, Create Component Configuration and Composite View | |||
Creating and Using Flow Variables | |||
Data App - Conditional Path | |||
Data App - Guess the Flag Game | |||
Data App Deployment Automation | |||
ETL for Restaurants Inspection Data | |||
Error Handling with Try-Catch | |||
Feed Forward Neural Network Iris Dataset | |||
From Data to Predictions Linear Regression | |||
How to Concatenate Tables | |||
How to Create a Scatter plot | |||
How to Filter Columns | |||
How to Filter Rows | |||
How to Handle Missing Values | |||
How to Split Cells | |||
JSON input callee | |||
Logistic Regression | |||
Modify Database Tables from KNIME Analytics Platform | |||
Modify Date and Time Zone | |||
Modify Time and Filter Date&Time Data | |||
Numbers, Strings, and Rules | |||
Numeric Scorer Node | |||
Parameter Optimization Loop | |||
Prediction Workflow Creation, Versioning, and Deployment Automation | |||
Querying Databases | |||
ROC Curve | |||
Random Forest Modeling and Prediction in KNIME | |||
Recommendation Engine | |||
Regression Tree Learner and Predictor | |||
Row Aggregator, GroupBy and Pivot | |||
Switch Workflow Branch Execution Depending on the Input Data | |||
Training Clustering Algorithms | |||
Training and Applying Decision Trees | |||
Value Lookup and Joiner | |||
What is a Component | |||
What is a Loop | |||
Working with images in KNIME |