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Azure Machine Learning Module Reference (Data input and output, Model…
Azure Machine Learning Module Reference
Data input and output
Model Training
Regression
Clustering
R Language
Model Scoring and Evaluation
Feature Selection
Data transformation
Python Language
Classification
Text Analytics
Statistical Function
Recommendation
Multiclass Decision Forest
Linear Regression
Pre-process Text
One-vs-All Multiclass
Cross-Validate Model
Decision Forest Regression
Score SVD Recommender
Neural Network Regression
Feature Hashing
Extract N-Gram Features from Text
Multiclass Neural Network
Score Model
Multiclass Boosted Decision Tree
Multiclass Logistic Regression
Two-Class Support Vector Machine
Two-Class Neural Network
Two-Class Decision Forest
Two-Class Logistic Regression
adnan_hashmi
Two-Class Averaged Perceptron
Two-Class Boosted Decision Tree
Enter Data Manually
Export Data
Import Data
Train SVD Recommender
Evaluate Recommender
Summarize Data
Permutation Feature Importance
Filter Based Feature Selection
Train Clustering Model
Train Model
Tune Model Hyperparamters
Execute R Script
Execute Python Script
Create Python Model
K-Means Clustering
Boosted Decision Tree Regression
Split Data
Select Columns in Dataset
SMOTE
Select Columns Transform
Remove Duplicate Rows
Partition and Sample
Normalze Data
Edit Metadata
Convert to Dataset
Convert to CSV
Clip Values
Clean Missing Data
Apply SQL Transformation
Apply Math Operation
Add Rows
Add Columns
Evauate Model
Assign Data to Clusters
Apply Transformation
