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Data Set Blocks
Describes the blocks that store and manipulate the data with which you
train a neural network.
- Introduction
- Creating Data Pairs
- Filtering Data
- Choosing When a Data Set Filter Executes
- Reading Data
- Copying Data
- Scaling Data
- Data Pair Buffer
- Specifying Whether Values are Concurrent
- Data Pair Converter
- Data Pair Divider
- Data Pair Random Gate
- Data Pair Outlier Filter
- Making Values Permanent
- Data Pair Quality Filter
- Data Set
- Editing the Data Set
- Setting the Dimensions of the Data Set
- Entering and Viewing Data
- Saving and Loading Data
- Plotting Data
- Text Format for Data Sets
- Customizing the Text Format
- Clearing the Data Set
- Making Values Permanent
- Maximum Age Filter
- Size Limitation Filter
- Data Set Reader
- Random Divider
- S-Fold Divider
- Data Set Copier
- Data Set Rescaler
- Making Values Permanent
- Data Set Plot
- Choosing What to Display
- Choosing How to Display the Data
- Choosing Where to Display the Data
- Creating and Deleting Data Series
- Making Values Permanent
- Novelty Filter
- Choosing Which Points to Keep
- Deciding Whether a Data Pair is Novel
- Making Values Permanent
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Copyright © 1996, Gensym Corporation, Inc.