Modules§
Structs§
- Aggregate
Classification Metrics - Arima
Coefficients - Arima
Fitting Metrics - Arima
Forecasting Metrics - Arima
Model Info - Arima
Order - Arima
Result - Arima
Single Model Forecasting Metrics - Binary
Classification Metrics - Binary
Confusion Matrix - Categorical
Value - Category
Count - Cluster
- Cluster
Info - Clustering
Metrics - Confusion
Matrix - Data
Split Result - Dimensionality
Reduction Metrics - Double
Candidates - Double
Range - Entry
- Explanation
- Feature
Value - Global
Explanation - Hparam
Search Spaces - Hparam
Tuning Trial - IntArray
- IntArray
Hparam Search Space - IntCandidates
- IntRange
- Iteration
Result - Model
- Model
Reference - Multi
Class Classification Metrics - Principal
Component Info - Ranking
Metrics - Regression
Metrics - Remote
Model Info - Row
- String
Hparam Search Space - Training
Options - Training
Run
Enums§
- Booster
Type - Dart
Normalize Type - Data
Frequency - Data
Split Method - Distance
Type - Double
Hparam Search Space - Evaluation
Metrics - Feature
Value Type - Feedback
Type - Holiday
Region - Hparam
Tuning Objective - IntHparam
Search Space - Kmeans
Initialization Method - Learn
Rate Strategy - Loss
Type - Model
Type - Optimization
Strategy - Remote
Service Type - Seasonal
Period Type - Test
Method - Tree
Method - Trial
Status