Developer’s Guide
- Preface
- Setting Up
- Understanding Configuration
- Configuring Logging
- Starting and Stopping Nodes
- Clustering
- Data Modeling
- Configuring Memory
- Configuring Caches
- Persistence
- Baseline Topology
- Data Rebalancing
- Partition Loss Policy
- Data Streaming
- Using Key-Value Cache API
- Using Continuous Queries
- Performing Transactions
- Working with SQL
- SQL and Key-Value Usage
- Distributed Computing
- Colocating Computations with Data
- Working with Events
- Near Caches
- .NET Platform Cache
- Peer Class Loading
- Handling Exceptions
- Thin Clients
- ODBC Driver
- REST API
-
Machine Learning
- Machine Learning
- Preprocessing
- Partition Based Dataset
- Linear Regression
- K-Means Clustering
- Genetic Algorithms
- Multilayer Perceptron
- Decision Trees
- k-NN Classification
- k-NN Regression
- SVM Binary Classification
- SVM Multi-class Classification
- Model Cross Validation
- Logistic Regression
- Random Forest
- Gradient Boosting
- ANN (Approximate Nearest Neighbor)
- Model updating
- Model Importing