Parameters of the DBSCAN computation method.
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Constructs a parameter
- Parameters
-
context | Context to manage the parameter of the DBSCAN algorithm |
Constructs a parameter
- Parameters
-
context | Context to manage the parameter of the DBSCAN algorithm |
epsilon | Radius of neighborhood |
minObservations | Minimal number of observations in neighborhood of core observation |
Constructs a parameter
- Parameters
-
context | Context to manage the parameter of the DBSCAN algorithm |
epsilon | Radius of neighborhood |
minObservations | Minimal number of observations in neighborhood of core observation |
memorySavingMode | If true then use memory saving (but slower) mode |
Retrieves the unique identifier of block initially passed for computation on the local node
- Returns
- Unique identifier of block initially passed for computation on the local node
Retrieves the radius of neighborhood
- Returns
- Radius of neighborhood
Retrieves the number of blocks that will process observations with value of selected split feature lesser than selected split value
- Returns
- Number of blocks that will process observations with value of selected split feature lesser than selected split value
boolean getMemorySavingMode |
( |
| ) |
|
Retrieves the memory saving mode flag value
- Returns
- Flag for the memory saving mode
long getMinObservations |
( |
| ) |
|
Retrieves the minimal number of observations in neighborhood of core observation
- Returns
- Minimal number of observations in neighborhood of core observation
Retrieves the number of blocks initially passed for computation on all nodes
- Returns
- Number of blocks initially passed for computation on all nodes
long getResultsToCompute |
( |
| ) |
|
Retrieves the 64 bit integer flag that indicates the results to compute
- Returns
- The 64 bit integer flag that indicates the results to compute
Retrieves the number of blocks that will process observations with value of selected split feature greater than selected split value
- Returns
- Number of blocks that will process observations with value of selected split feature greater than selected split value
void setBlockIndex |
( |
long |
blockIndex | ) |
|
Sets the unique identifier of block initially passed for computation on the local node
- Parameters
-
blockIndex | Unique identifier of block initially passed for computation on the local node |
void setEpsilon |
( |
double |
epsilon | ) |
|
Sets the radius of neighborhood
- Parameters
-
epsilon | Radius of neighborhood |
void setLeftBlocks |
( |
long |
leftBlocks | ) |
|
Sets the number of blocks that will process observations with value of selected split feature lesser than selected split value
- Parameters
-
leftBlocks | Number of blocks that will process observations with value of selected split feature lesser than selected split value |
void setMemorySavingMode |
( |
boolean |
memorySavingMode | ) |
|
Sets the memory saving mode flag
- Parameters
-
memorySavingMode | Flag for the memory saving mode |
void setMinObservations |
( |
long |
minObservations | ) |
|
Sets the minimal number of observations in neighborhood of core observation
- Parameters
-
minObservations | Minimal number of observations in neighborhood of core observation |
void setNBlocks |
( |
long |
nBlocks | ) |
|
Sets the number of blocks initially passed for computation on all nodes
- Parameters
-
nBlocks | Number of blocks initially passed for computation on all nodes |
void setResultsToCompute |
( |
long |
resultsToCompute | ) |
|
Sets the 64 bit integer flag that indicates the results to compute
- Parameters
-
resultsToCompute | The 64 bit integer flag that indicates the results to compute |
void setRightBlocks |
( |
long |
rightBlocks | ) |
|
Sets the number of blocks that will process observations with value of selected split feature greater than selected split value
- Parameters
-
rightBlocks | Number of blocks that will process observations with value of selected split feature greater than selected split value |
The documentation for this class was generated from the following file: