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- - name : Azure Machine Learning designer module reference
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+ - name : Designer algorithms & modules
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href : module-reference.md
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- - name : Azure Machine Learning documentation
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- href : ../index.yml
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- - name : Module categories
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- expanded : true
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+ - name : Data input and output
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items :
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- - name : Data input and output
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- items :
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- - name : Import Data
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- href : import-data.md
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- - name : Enter Data Manually
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- href : enter-data-manually.md
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- - name : Export Data
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- href : export-data.md
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- - name : Data transformation
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- items :
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- - name : Add Columns
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- href : add-columns.md
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- - name : Add Rows
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- href : add-rows.md
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- - name : Apply SQL Transformation
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- href : apply-sql-transformation.md
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- - name : Convert to CSV
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- href : convert-to-csv.md
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- - name : Convert to Dataset
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- href : convert-to-dataset.md
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- - name : Clean Missing Data
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- href : clean-missing-data.md
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- - name : Edit Metadata
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- href : edit-metadata.md
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- - name : Join Data
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- href : join-data.md
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- - name : Normalize Data
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- href : normalize-data.md
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- - name : Remove Duplicate Rows
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- href : remove-duplicate-rows.md
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- - name : Select Columns Transform
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- href : select-columns-transform.md
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- - name : Select Columns in Dataset
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- href : select-columns-in-dataset.md
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- - name : Sampling
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- items :
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- - name : Cross Validate Model
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- href : cross-validate-model.md
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- - name : Partition and Sample
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- href : partition-and-sample.md
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- - name : SMOTE
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- href : smote.md
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- - name : Split Data
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- href : split-data.md
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- - name : Feature selection
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- items :
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- - name : Filter Based Feature Selection
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- href : filter-based-feature-selection.md
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- - name : Permutation Feature Importance
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- href : permutation-feature-importance.md
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- - name : Python and R
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- items :
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- - name : Create Python Model
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- href : create-python-model.md
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- - name : Execute Python Script
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- href : execute-python-script.md
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- - name : Execute R Script
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- href : execute-r-script.md
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- - name : Text analytics
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- items :
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- - name : Extract N Gram Features from Text
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- href : extract-n-gram-features-from-text.md
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- - name : Feature Hashing
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- href : feature-hashing.md
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- - name : Preprocess Text
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- href : preprocess-text.md
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- - name : Machine learning algorithms
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- items :
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- - name : Classification
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- items :
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- - name : Multiclass Decision Forest
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- href : multiclass-decision-forest.md
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- - name : Multiclass Boosted Decision Tree
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- href : multiclass-boosted-decision-tree.md
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- - name : Multiclass Logistic Regression
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- href : multiclass-logistic-regression.md
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- - name : Multiclass Neural Network
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- href : multiclass-neural-network.md
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- - name : One vs. All Multiclass
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- href : one-vs-all-multiclass.md
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- - name : Two-Class Logistic Regression
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- href : two-class-logistic-regression.md
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- - name : Two-Class Averaged Perceptron
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- href : two-class-averaged-perceptron.md
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- - name : Two-Class Boosted Decision Tree
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- href : two-class-boosted-decision-tree.md
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- - name : Two-Class Decision Forest
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- href : two-class-decision-forest.md
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- - name : Two-Class Neural Network
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- href : two-class-neural-network.md
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- - name : Two Class Support Vector Machine
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- href : two-class-support-vector-machine.md
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- - name : Clustering
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- items :
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- - name : K-Means Clustering
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- href : k-means-clustering.md
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- - name : Regression
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- items :
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+ - name : Import Data
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+ href : import-data.md
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+ - name : Enter Data Manually
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+ href : enter-data-manually.md
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+ - name : Export Data
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+ href : export-data.md
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+ - name : Data transformation
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+ items :
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+ - name : Add Columns
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+ href : add-columns.md
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+ - name : Add Rows
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+ href : add-rows.md
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+ - name : Apply SQL Transformation
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+ href : apply-sql-transformation.md
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+ - name : Convert to CSV
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+ href : convert-to-csv.md
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+ - name : Convert to Dataset
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+ href : convert-to-dataset.md
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+ - name : Clean Missing Data
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+ href : clean-missing-data.md
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+ - name : Edit Metadata
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+ href : edit-metadata.md
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+ - name : Join Data
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+ href : join-data.md
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+ - name : Normalize Data
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+ href : normalize-data.md
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+ - name : Remove Duplicate Rows
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+ href : remove-duplicate-rows.md
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+ - name : Select Columns Transform
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+ href : select-columns-transform.md
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+ - name : Select Columns in Dataset
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+ href : select-columns-in-dataset.md
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+ - name : Sampling
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+ items :
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+ - name : Cross Validate Model
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+ href : cross-validate-model.md
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+ - name : Partition and Sample
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+ href : partition-and-sample.md
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+ - name : SMOTE
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+ href : smote.md
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+ - name : Split Data
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+ href : split-data.md
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+ - name : Feature selection
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+ items :
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+ - name : Filter Based Feature Selection
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+ href : filter-based-feature-selection.md
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+ - name : Permutation Feature Importance
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+ href : permutation-feature-importance.md
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+ - name : Python and R
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+ items :
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+ - name : Create Python Model
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+ href : create-python-model.md
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+ - name : Execute Python Script
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+ href : execute-python-script.md
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+ - name : Execute R Script
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+ href : execute-r-script.md
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+ - name : Text analytics
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+ items :
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+ - name : Extract N Gram Features from Text
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+ href : extract-n-gram-features-from-text.md
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+ - name : Feature Hashing
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+ href : feature-hashing.md
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+ - name : Preprocess Text
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+ href : preprocess-text.md
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+ - name : Machine learning algorithms
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+ items :
71
+ - name : Classification
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+ items :
73
+ - name : Multiclass Decision Forest
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+ href : multiclass-decision-forest.md
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+ - name : Multiclass Boosted Decision Tree
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+ href : multiclass-boosted-decision-tree.md
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+ - name : Multiclass Logistic Regression
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+ href : multiclass-logistic-regression.md
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+ - name : Multiclass Neural Network
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+ href : multiclass-neural-network.md
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+ - name : One vs. All Multiclass
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+ href : one-vs-all-multiclass.md
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+ - name : Two-Class Logistic Regression
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+ href : two-class-logistic-regression.md
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+ - name : Two-Class Averaged Perceptron
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+ href : two-class-averaged-perceptron.md
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+ - name : Two-Class Boosted Decision Tree
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+ href : two-class-boosted-decision-tree.md
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+ - name : Two-Class Decision Forest
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+ href : two-class-decision-forest.md
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+ - name : Two-Class Neural Network
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+ href : two-class-neural-network.md
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+ - name : Two Class Support Vector Machine
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+ href : two-class-support-vector-machine.md
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+ - name : Clustering
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+ items :
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+ - name : K-Means Clustering
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+ href : k-means-clustering.md
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+ - name : Regression
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+ items :
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- name : Boosted Decision Tree Regression
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href : boosted-decision-tree-regression.md
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- name : Decision Forest Regression
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href : linear-regression.md
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- name : Neural Network Regression
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href : neural-network-regression.md
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- - name : Recommender
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- items :
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- - name : Train SVD Recommender
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- href : train-svd-recommender.md
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- - name : Train model
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+ - name : Recommender
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items :
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- - name : Train Model
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- href : train-model.md
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- - name : Train Clustering Model
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- href : train-clustering-model.md
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- - name : Tune Model Hyperparameters
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- href : tune-model-hyperparameters.md
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- - name : Evaluate model
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- items :
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- - name : Evaluate Model
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- href : evaluate-model.md
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- - name : Evaluate Recommender
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- href : evaluate-recommender.md
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- - name : Score model
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- items :
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- - name : Apply Transformation
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- href : apply-transformation.md
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- - name : Assign Data to Clusters
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- href : assign-data-to-clusters.md
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- - name : Score Model
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- href : score-model.md
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- - name : Score SVD Recommender
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- href : score-svd-recommender.md
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- - name : Statistical functions
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- items :
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- - name : Apply Math Operation
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- href : apply-math-operation.md
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- - name : Summarize Data
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- href : summarize-data.md
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+ - name : Train SVD Recommender
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+ href : train-svd-recommender.md
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+ - name : Train model
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+ items :
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+ - name : Train Model
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+ href : train-model.md
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+ - name : Train Clustering Model
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+ href : train-clustering-model.md
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+ - name : Tune Model Hyperparameters
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+ href : tune-model-hyperparameters.md
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+ - name : Evaluate model
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+ items :
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+ - name : Evaluate Model
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+ href : evaluate-model.md
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+ - name : Evaluate Recommender
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+ href : evaluate-recommender.md
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+ - name : Score model
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+ items :
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+ - name : Apply Transformation
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+ href : apply-transformation.md
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+ - name : Assign Data to Clusters
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+ href : assign-data-to-clusters.md
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+ - name : Score Model
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+ href : score-model.md
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+ - name : Score SVD Recommender
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+ href : score-svd-recommender.md
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+ - name : Statistical functions
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+ items :
139
+ - name : Apply Math Operation
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+ href : apply-math-operation.md
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+ - name : Summarize Data
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+ href : summarize-data.md
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