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‎articles/machine-learning/algorithm-module-reference/toc.yml

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- name: Azure Machine Learning designer module reference
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items:
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- name: Overview
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href: module-reference.md
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- name: Data input and output
6-
items:
7-
- name: Import Data
8-
href: import-data.md
9-
- name: Enter Data Manually
10-
href: enter-data-manually.md
11-
- name: Export Data
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href: export-data.md
13-
- name: Data transformation
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items:
15-
- 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
19-
- name: Apply SQL Transformation
20-
href: apply-sql-transformation.md
21-
- name: Convert to CSV
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href: convert-to-csv.md
23-
- name: Convert to Dataset
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href: convert-to-dataset.md
25-
- name: Clean Missing Data
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href: clean-missing-data.md
27-
- name: Edit Metadata
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href: edit-metadata.md
29-
- 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
35-
- 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
79-
- 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
101-
- name: Regression
102-
items:
3+
- name: Overview
4+
href: module-reference.md
5+
- name: Data input and output
6+
items:
7+
- name: Import Data
8+
href: import-data.md
9+
- name: Enter Data Manually
10+
href: enter-data-manually.md
11+
- name: Export Data
12+
href: export-data.md
13+
- name: Data transformation
14+
items:
15+
- name: Add Columns
16+
href: add-columns.md
17+
- name: Add Rows
18+
href: add-rows.md
19+
- name: Apply SQL Transformation
20+
href: apply-sql-transformation.md
21+
- name: Convert to CSV
22+
href: convert-to-csv.md
23+
- name: Convert to Dataset
24+
href: convert-to-dataset.md
25+
- name: Clean Missing Data
26+
href: clean-missing-data.md
27+
- name: Edit Metadata
28+
href: edit-metadata.md
29+
- name: Join Data
30+
href: join-data.md
31+
- name: Normalize Data
32+
href: normalize-data.md
33+
- name: Remove Duplicate Rows
34+
href: remove-duplicate-rows.md
35+
- name: Select Columns Transform
36+
href: select-columns-transform.md
37+
- name: Select Columns in Dataset
38+
href: select-columns-in-dataset.md
39+
- name: Sampling
40+
items:
41+
- name: Cross Validate Model
42+
href: cross-validate-model.md
43+
- name: Partition and Sample
44+
href: partition-and-sample.md
45+
- name: SMOTE
46+
href: smote.md
47+
- name: Split Data
48+
href: split-data.md
49+
- name: Feature selection
50+
items:
51+
- name: Filter Based Feature Selection
52+
href: filter-based-feature-selection.md
53+
- name: Permutation Feature Importance
54+
href: permutation-feature-importance.md
55+
- name: Python and R
56+
items:
57+
- name: Create Python Model
58+
href: create-python-model.md
59+
- name: Execute Python Script
60+
href: execute-python-script.md
61+
- name: Execute R Script
62+
href: execute-r-script.md
63+
- name: Text analytics
64+
items:
65+
- name: Extract N Gram Features from Text
66+
href: extract-n-gram-features-from-text.md
67+
- name: Feature Hashing
68+
href: feature-hashing.md
69+
- name: Preprocess Text
70+
href: preprocess-text.md
71+
- name: Machine learning algorithms
72+
items:
73+
- name: Classification
74+
items:
75+
- name: Multiclass Decision Forest
76+
href: multiclass-decision-forest.md
77+
- name: Multiclass Boosted Decision Tree
78+
href: multiclass-boosted-decision-tree.md
79+
- name: Multiclass Logistic Regression
80+
href: multiclass-logistic-regression.md
81+
- name: Multiclass Neural Network
82+
href: multiclass-neural-network.md
83+
- name: One vs. All Multiclass
84+
href: one-vs-all-multiclass.md
85+
- name: Two-Class Logistic Regression
86+
href: two-class-logistic-regression.md
87+
- name: Two-Class Averaged Perceptron
88+
href: two-class-averaged-perceptron.md
89+
- name: Two-Class Boosted Decision Tree
90+
href: two-class-boosted-decision-tree.md
91+
- name: Two-Class Decision Forest
92+
href: two-class-decision-forest.md
93+
- name: Two-Class Neural Network
94+
href: two-class-neural-network.md
95+
- name: Two Class Support Vector Machine
96+
href: two-class-support-vector-machine.md
97+
- name: Clustering
98+
items:
99+
- name: K-Means Clustering
100+
href: k-means-clustering.md
101+
- name: Regression
102+
items:
103103
- name: Boosted Decision Tree Regression
104104
href: boosted-decision-tree-regression.md
105105
- name: Decision Forest Regression
@@ -108,37 +108,37 @@
108108
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
112-
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
130-
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
113+
- name: Train SVD Recommender
114+
href: train-svd-recommender.md
115+
- name: Train model
116+
items:
117+
- name: Train Model
118+
href: train-model.md
119+
- name: Train Clustering Model
120+
href: train-clustering-model.md
121+
- name: Tune Model Hyperparameters
122+
href: tune-model-hyperparameters.md
123+
- name: Evaluate model
124+
items:
125+
- name: Evaluate Model
126+
href: evaluate-model.md
127+
- name: Evaluate Recommender
128+
href: evaluate-recommender.md
129+
- name: Score model
130+
items:
131+
- name: Apply Transformation
132+
href: apply-transformation.md
133+
- name: Assign Data to Clusters
134+
href: assign-data-to-clusters.md
135+
- name: Score Model
136+
href: score-model.md
137+
- name: Score SVD Recommender
138+
href: score-svd-recommender.md
139+
- name: Statistical functions
140+
items:
141+
- name: Apply Math Operation
142+
href: apply-math-operation.md
143+
- name: Summarize Data
144+
href: summarize-data.md

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