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ml models

Cross validation decision tree

Simple decision tree

Saving and loading a model for making predictions

Hyperparameter tuning decision tree

(uses KNIME Optimzation extension, see Menu)

Hyperparameter tuning random forest

NOTE: remember to set the depth and num_trees variables to integer

Time series formatting

Variables dummy o one-hot-encoding

Simple keras regressor architecture

PMML Predictor
Decision Tree View (JavaScript) (deprecated)
CSV Reader
CSV Reader
Row Filter
Parameter Optimization Loop Start
Parameter Optimization Loop End
String to Date&Time
One to Many
Lag Column
Date&Time Part Extractor
CSV Reader
Simple Regression Tree Learner
One to Many
CSV Reader
CSV Reader
CSV Reader
Table Partitioner
Linear Regression Learner
K Nearest Neighbor
Simple Regression Tree Predictor
CSV Reader
Numeric Scorer
Keras Input Layer
Line Plot
Parameter Optimization Loop End
Parameter Optimization Loop Start
CSV Reader
CSV Reader
Numeric Scorer
CSV Reader
Decision Tree Learner
Table Partitioner
Decision Tree Predictor
Scorer
CSV Reader
Keras Dense Layer
Table Partitioner
Keras Network Learner
Keras Dense Layer
Table Partitioner
String to Date&Time
Sorter
Keras Network Executor
CSV Reader
Random Forest Predictor (Regression)
Group Loop Start
Scorer
Decision Tree Learner
CSV Reader
Decision Tree Predictor
Simple Regression Tree Learner
Decision Tree to Image
PMML Writer
Model Reader
PMML Reader
Random Forest Learner (Regression)
Simple Regression Tree to PMML

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