public abstract class SupervisedModel<M extends Model<M,P,O>,P extends SupervisedModel.SupervisedParameters,O extends SupervisedModel.SupervisedOutput> extends Model<M,P,O>
| Modifier and Type | Class and Description |
|---|---|
static class |
SupervisedModel.SupervisedOutput
Output from all Supervised Models, includes class distribtion
|
static class |
SupervisedModel.SupervisedParameters
Supervised Model Parameters includes a response column, and whether or
not rebalancing classes is desirable.
|
Model.ModelCategory, Model.Output, Model.Parameters| Constructor and Description |
|---|
SupervisedModel(Key selfKey,
P parms,
O output) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
isSupervised() |
float[] |
score0(Chunk[] chks,
int row_in_chunk,
double[] tmp,
float[] preds)
Bulk scoring API for one row.
|
adaptTestForTrain, adaptTestForTrain, addMetrics, addWarning, checksum_impl, makeMetricBuilder, remove_impl, schema, score, score, score, score0, scoreImpldelete_and_lock, delete, delete, delete, read_lock, read_lock, unlock_all, unlock, update, write_lockclone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSONpublic boolean isSupervised()
isSupervised in class Model<M extends Model<M,P,O>,P extends SupervisedModel.SupervisedParameters,O extends SupervisedModel.SupervisedOutput>public float[] score0(Chunk[] chks, int row_in_chunk, double[] tmp, float[] preds)