Creates an empty Random Forest classifier.
| Usage | Returns |
|---|---|
ee.Classifier.smileRandomForest(numberOfTrees, variablesPerSplit, minLeafPopulation, bagFraction, maxNodes, seed) | Classifier |
| Argument | Type | Details |
|---|---|---|
numberOfTrees | Integer | The number of decision trees to create. |
variablesPerSplit | Integer, default: null | The number of variables per split. If unspecified, uses the square root of the number of variables. |
minLeafPopulation | Integer, default: 1 | Only create nodes whose training set contains at least this many points. |
bagFraction | Float, default: 0.5 | The fraction of input to bag per tree. |
maxNodes | Integer, default: null | The maximum number of leaf nodes in each tree. If unspecified, defaults to no limit. |
seed | Integer, default: 0 | The randomization seed. |