Clustering Houses¶
This workflow reads in a dataset. It then performs KMeans Clustering on the Housing Dataset.
Workflow¶
Below is the workflow. It does the following:
- Reads data from a sample dataset.
- Prints the results.
- Assembles the features for predictions.
- Splits it.
- Perform KMeans Clustering.
- ML Model save.
- ML Model Load.
- Prediction.
- Print the prediction results.
Prints the results¶
It prints the sample dataset file results.
Processor Configuration¶
Processor Output¶
Assemble the features for predictions¶
It assembles the features for predictions using VectorAssembler Node.
Processor Configuration¶
Processor Output¶
Split it¶
It splits features of prediction using Split Node.
Processor Configuration¶
Processor Output¶
Perform KMeans Clustering¶
It performs KMeans Clustering on the Housing Dataset using KMeans Node.
Processor Configuration¶
Processor Output¶
ML Model save¶
It will save ML Model with given path using ModelSave Node.
Processor Configuration¶
Processor Output¶
ML Model Load¶
It will Load ML Model with given path using ModelSave Node.
Processor Configuration¶
Processor Output¶
