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Sharing_​Component_​with_​Interactive_​Visualisation_​with_​Python_​view_​node

Sharing Component with Interactive Visualisation using Python view node with Plotly package

This workflow is built to showcase the Component that uses Python View node to generate interactive view. The component trains a lasso regression to predict the housing prices. Further we use the Python View node to visualise the effect of features on price of the house using intercative scatter plot


Read Data Visualise the LassoRegression Workflow Inside of Component Lasso Regression for Housing Prices(Displayed here for KNIME Hub Inspection) Real house valueagainst predicted value partition intrain and validationdatasetsData points ona mapFit a sklearnLasso modelwith the selectedregularizationstrengthPredict onvalidationdataCaliforniaHosuing DatasetregularizationstrengthCaliforniaHosuing DatasetScatter Plot (Labs) Partitioning Python View Python Script Python Script Lasso Regressionfor Housing Prices Table Reader Double Widget RefreshButton Widget Table View (Labs) Row Sampling Table Reader Read Data Visualise the LassoRegression Workflow Inside of Component Lasso Regression for Housing Prices(Displayed here for KNIME Hub Inspection) Real house valueagainst predicted value partition intrain and validationdatasetsData points ona mapFit a sklearnLasso modelwith the selectedregularizationstrengthPredict onvalidationdataCaliforniaHosuing DatasetregularizationstrengthCaliforniaHosuing DatasetScatter Plot (Labs) Partitioning Python View Python Script Python Script Lasso Regressionfor Housing Prices Table Reader Double Widget RefreshButton Widget Table View (Labs) Row Sampling Table Reader

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