42 results
- Go to itemThis workflow demonstrates a technique to deploy a model prediction workflow as a web service and to validate that it is doing wh…3
- Go to itemH2O.ai AutoML (wrapped with R) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.knime.c…1
- Go to itemThis workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…1
- Go to itemThis is an example for computing explanation using LIME. An XGBoost model was picked, but any model and its set of Learner and Pr…1
- Go to itemuse Python XGBoost package to build model and deploy that thru KNIME Python nodes in the subfolder /data/ there is a Jupyter note…1
- Go to itemThis workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…1
- Go to itemH2O.ai AutoML (wrapped with Python) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.kn…1
- Go to itemThis workflow shows how the XGBoost nodes can be used for regression tasks. It also demonstrates a combination of parameter optim…1
- Go to itemH2O.ai AutoML (wrapped with Python) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hu…0
- Go to itemH2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat) - a powerfu…0
- Go to itemH2O.ai AutoML (wrapped with R) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hub.kni…0
- Go to itemH2O.ai AutoML (wrapped with R) in KNIME for classification problems (with R vtreat) - a powerful auto-machine-learning framework …0
- Go to itemH2O.ai AutoML (generic KNIME nodes) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.kn…0
- Go to itemH2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for regression problems (with R vtreat) - a powerful au…0
- Go to itemH2O.ai AutoML (generic KNIME nodes) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hu…0
- Go to itemH2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for regression problems (with R vtreat) - a powerful auto-ma…0
- Go to itemBinary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes prepare…0
- Go to itemH2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for classification problems (with R vtreat) - a powerful aut…0
- Go to itemH2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for regression problems (with R vtreat) - a powerful auto-ma…0
- Go to itemThis is an example for visualizing a partial dependence plot and an ICE curves plot in KNIME. An XGBoost Tree Ensemble Regression…0