H2O Partitioning

The H2O partitioner partitions an H2O frame into two disjoint sets. The size of the set is specified either as an absolute or relative value.
Note: For efficiency reasons resulting partitioning may not be exactly correspond to the selected size or ratio.

Options

Absolute

Specify the absolute number of rows in the first partition. If there are less rows than specified here, all rows are entered into the first table, while the second table contains no rows.
Note: For efficiency reasons resulting partitioning may not be exactly correspond to the selected size or ratio.

Relative[%]

The percentage of the number of rows in the input frame that are in the first partition. It must be between 0 and 100, inclusively.
Note: For efficiency reasons resulting partitioning may not be exactly correspond to the selected size or ratio.

Take from top

This mode puts the top-most rows into the first output table and the remainder in the second table.

Draw randomly

Random sampling of all rows, you may optionally specify a fixed seed (see below).

Stratified sampling

Check this button if you want stratified sampling, i.e. the distribution of values in the selected column is (approximately) retained in the output frames. You may optionally specify a fixed seed (see below).

Use static random seed

If either random or stratified sampling is selected, you may enter a fixed seed here in order to get reproducible results upon re-execution. If you do not specify a seed, a new random seed is taken for each execution.

Views

This node has no views

Workflows

• 02 Stock Prediction - Model TrainingKNIME Hub
• 02_H2O_for_PerformanceKNIME Hub
• 02_H2O_GBM_Classification_ModelKNIME Hub
• 02_H2O_GBM_Classification_ModelKNIME Hub
• 02_H2O_GBM_Classification_ModelKNIME Hub
• Show all 52 workflows

Links

• No links available

Developers