Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • Nodes
  • Gradient Boosted Trees Predictor (deprecated)
NodeNode / Predictor

Gradient Boosted Trees Predictor (deprecated)

Analytics Mining Decision Tree Ensemble Gradient Boosting Classification
+1

This node has been deprecated and its use is not recommended. Please search for updated nodes instead.

Like
Copy short link

Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function Approximation: A Gradient Boosting Machine" by Jerome H. Friedman (1999)". For more information you can also take a look at this .

Node details

Input ports
  1. Type: Gradient Boosting Model
    Model
    Gradient Boosted Trees model as produced by the Gradient Boosted Trees Learner node.
  2. Type: Table
    Input Data
    The data to predict
Output ports
  1. Type: Table
    Output Data
    The predicted data

Extension

The Gradient Boosted Trees Predictor (deprecated) node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
    02_Model_Building
    Customer Experience and Sentiment Analysis Use Case: Model Building Workflow Comments wer…
    knime > Examples > 50_Applications > 45_Customer_Experience_and_Sentiment_Analysis > 02_Model_Building
  2. Go to item
    REST API for Sentiment Analysis
    This workflow showcases the Rest API capabilities of the KNIME Server. We are reusing the…
    knime > Examples > 50_Applications > 46_Sentiment_Prediction_via_REST > 01_Rest_API_Sentiment_Prediction
  3. Go to item
    REST API for Sentiment Analysis
    This workflow showcases the Rest API capabilities of the KNIME Server. We are reusing the…
    knime > Examples > 50_Applications > 45_Customer_Experience_and_Sentiment_Analysis > 04_Rest_API_Sentiment_Prediction
  4. Go to item
    REST API for Sentiment Analysis
    This workflow showcases the Rest API capabilities of the KNIME Server. We are reusing the…
    asheesh > Public > 01_Rest_API_Sentiment_Prediction_Ash
  5. Go to item
    Advanced Analytics
    komparema10 > Predictive Analytics Project > Advanced Analytics
  6. Go to item
    Model Deployment File to Database (Scheduling)
    Deployment File Database
    +4
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow reads ne…
    knime > Examples > 50_Applications > 27_Deployment_Options > 01_Model_Deployment_file_to_database_scheduling
  7. Go to item
    Customer Comments Minning Use Case: Guided Analytics Workflow
    This workflow was constructed to understand the consumers’ feedbacks and issues about air…
    knime > Examples > 50_Applications > 45_Customer_Experience_and_Sentiment_Analysis > 03_Guided_Analytics
  8. Go to item
    Analytics - Model Selection to Predict Flight Departure Delays
    Data science Machine learning Model selection
    +4
    This workflow trains a number of data analytics models and automatically selects the best…
    knime > Examples > 50_Applications > 28_Predicting_Departure_Delays > 01_Analytics
  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits