Machine Learning

• Apply model
  • Decision Function
  • Extract Attributes
  • Fit
  • Fit Dataset (Experimental)
  • Fit Texts
  • Fit Transform
  • Fit Transform Text
  • Image Classifier (Experimental)
  • Inverse Transform
  • Large Language Model API
  • Pipeline
  • Pipeline decomposition
  • Predict
  • Predict Dataset (Experimental)
  • Predict Probabilities
  • Select Features from Model
  • Set Input and Output Names
  • Tabular Classifier (Experimental)
  • Tabular Regressor (Experimental)
  • Transform
  • Transform Text
  • Voting Classifier
• Dimensionality reduction
  • Kernel Principal Component Analysis (KPCA)
  • Linear Discriminant Analysis
  • Partial Least Squares cross-decomposition (PLS regression)
  • Principal Component Analysis (PCA)
• IO
  • Example datasets
  • Export Model
  • Features to Images
  • Generate classification dataset
  • Generate dataset blobs
  • Generate dataset blobs from table
  • Image Dataset (Experimental)
  • Images to Features
  • Import Model
  • Table Dataset (Experimental)
• Metrics
  • Conditional Probabilty from Categories
  • Confusion Matrix
  • Learning Curve
  • ROC from Probabilities
  • R² regression score (R2)
  • Score
• Parameters
  • Extract Parameters
  • Grid Parameter Search
  • Parameter Distribution
  • Randomized Parameter Search
  • Set Parameters
  • Simulated Annealing Parameter Search
• Partitioning and validation
  • Group K-fold Cross Validation
  • K-fold Cross Validation
  • Leave One Group out Cross Validation
  • Score Cross Validation
  • Simple Train-Test Split
  • Split Data for Cross Validation
  • Split Dataset (Experimental)
  • Stratified K-fold cross validation
  • Time Series K-fold Based Cross Validation
• Processing
  • Binarizer
  • Categorical Encoder
  • Convert column type in Table Dataset (Experimental)
  • Dataset to Dict (Experimental)
  • Dataset to tables (Experimental)
  • Imputer
  • Label Binarizer
  • Label Encoder
  • Max Abs Scaler
  • Normalizer
  • One-Hot Encoder
  • Polynomial Features
  • Robust Scaler
  • Select columns in Table Dataset (Experimental)
  • Standard Scaler
  • Tables to Dataset (Experimental)
  • Text Count Vectorizer
  • Transform Image Dataset (Experimental)
  • Transform Table Dataset (Experimental)
• Regression
  • Epsilon Support Vector Regression
  • Kernel Ridge Regression
  • Linear Regression
  • Multi-output Regressor
• Supervised
  • Decision Tree Classifier
  • Logistic Regression
  • Multi-Layer Perceptron Classifier
  • Multi-Layer Perceptron Regressor
  • Multi-output Classifier
  • Quadratic Discriminant Analysis
  • Random Forest Classifier
  • Random Forest Regressor
  • Support Vector Classifier
  • k-Nearest Neighbors Classifier
• Unsupervised
  • Agglomerative Clustering
  • Density based spatial clustering (DBSCAN)
  • Isolation Forest
  • K-means Clustering
  • Mini-batch K-means Clustering
  • One Class Support Vector Machines
  • Spectral co-clustering