Machine Learning Bricks

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Dim. Reduction T-SNE

Function

Visualize high-dimensional data using t-Distributed Stochastic Neighbor Embedding.
Dim. Reduction UMAP

Function

Visualize high-dimensional data using Uniform Manifold Approximation and Projection.
ML Datasets

Function

Load popular ML datasets (Sklearn & SHAP). Automatically maps numeric targets to class names where possible.
Model Load

Function

Restores a machine learning model and its metadata from a ZIP archive or directory created by the Save Model brick.
Model Predict

Function

Uses a trained model (sklearn, xgboost, catboost, lightgbm) to make predictions on new data.
Model Save

Function

Saves the model and metadata into a portable archive (ZIP) for seamless loading.
Reg. Decision Tree

Function

Train a Decision Tree regression model.
Reg. ElasticNet

Function

Train an ElasticNet regression model.
Reg. LightGBM

Function

Train a LightGBM gradient boosting regression model.
Reg. Linear Regression

Function

Train a Linear Regression model.
Reg. Random Forest

Function

Train a Random Forest regression model.
Regression Metrics

Function

Computes regression performance metrics including WAPE and Forecast Accuracy.