This documentation is for Machine Learner 1.0.0. View documentation for the latest release.
Machine Learner 1.0.0

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Title: HTTP Status Codes  
Author: Praneesha Chandrasiri Mar 23, 2015
Last Changed by: Praneesha Chandrasiri Aug 27, 2015
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Machine Learner 1.0.0 (61)
    Page: Exporting a Model via REST API
    Page: Retrieving Filtered Feature Names of a Dataset via REST API
    Page: Deleting a Project via REST API
    Page: Retrieving the Algorithm Type of an Analysis via REST API
    Page: Retrieving All Analyses of All Projects via REST API
    Page: Retrieving All Version Sets of a Dataset via REST API
    Page: Retrieving the Dataset Status of a Given Dataset ID via REST API
    Page: Retrieving All Algorithms via REST API
    Page: Retrieve All Analyses of a Project via REST API
    Page: Making a Prediction Using a Model via REST API
    Page: Updating Features with Customized Values For an Analysis
    Page: Deleting an Analysis via REST API
    Page: Making a Prediction Using a CSV or TSV File via REST API
    Page: Retrieving All Models of a Project via REST API
    Page: Retrieving Data from WSO2 DAS Tables via REST API
    Page: Retrieving the Algorithm Name of an Analysis via REST API
    Page: Setting Analysis Configurations via REST API
    Page: Retrieving Version Set of a Given Dataset Version via REST API
    Page: Publishing a Model via REST API
    Page: Retrieving Summarized Statistics of an Analysis via REST API
    Page: Retrieving a Dataset via REST API
    Page: Retrieving the Response Variables of an Analysis via REST API
    Page: Retrieving Chart Sample Points of a Given Dataset Version via REST API
    Page: Setting Hyper Parameters for an Algorithm of an Analysis via REST API
    Page: Retrieving the Train Data Fraction of an Analysis via REST API
    Page: Retrieving All Datasets and Versions via REST API
    Page: Retrieving All Models via REST API
    Page: Retrieving Summarized Features of an Analysis via REST API
    Page: Building a Model via REST API
    Page: Predicting a Model via REST API
    Page: Retrieving Filtered Features of an Analysis via REST API
    Page: Creating a Project via REST API
    Page: Retrieving Summary Statistics Settings via REST API
    Page: Retrieving Scatter Plot Points of the Latest Dataset Version via REST API
    Page: Retrieve Cluster Points of a Dataset for a Feature List via REST API
    Page: Retrieve Scatter Plot Points of a Dataset Version via REST API
    Page: Retrieving Customized Features of an Analysis via REST API
    Page: Retrieving All Analyses via REST API
    Page: Retrieving Summarized Statistics of a Feature in a Dataset via REST API
    Page: Add Model Storage Information via REST API
    Page: Loading Default Features as Customized Features via REST API
    Page: Retrieving Hyper Parameters of an Algorithm via REST API
    Page: Creating a Model via REST API
    Page: Retrieving Hyper Parameters of an Analysis via REST API
    Page: Deleting a Dataset Version via REST API
    Page: Retrieving a Specific Analysis of a Project via REST API
    Page: Retrieving Chart Sample Points of the Latest Dataset Version via REST API
    Page: Retrieve a Datset Version via REST API
    Page: Retrieving Summary of a Model via REST API
    Page: Retrieving Configurations of an Analysis via REST API
    Page: Creating an Analysis via REST API
    Page: Retrieving an Algorithm via REST API
    Page: Uploading a Dataset via REST API
    Page: Retrieving All Models of an Analysis via REST API
    Page: Loading Default Hyper Parameters for an Algorithm of an Analysis via REST API
    Page: Retrieving Features of an Analysis via REST API
    Page: Deleting a Model via REST API
    Page: Retrieving Sample Points of a Dataset Version via REST API
    Page: Deleting a Dataset via REST API
    Page: Retrieving a Model via REST API
    Page: Retrieving a Project via REST API
Hierarchy
Parent Page
    Page: REST API Guide
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Recent Changes
Time Editor  
Aug 27, 2015 14:50 Praneesha Chandrasiri View Changes
Mar 23, 2015 15:11 Praneesha Chandrasiri View Changes
Mar 23, 2015 15:10 Praneesha Chandrasiri