public class ModelMetricsBase<I extends ModelMetrics,S extends ModelMetricsBase<I,S>> extends Schema<I,S>
Schema.Meta
Modifier and Type | Field and Description |
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java.lang.String |
description |
KeyV3.FrameKeyV3 |
frame |
long |
frame_checksum |
KeyV3.ModelKeyV3 |
model |
hex.ModelCategory |
model_category |
long |
model_checksum |
double |
MSE |
FrameV3 |
predictions |
long |
scoring_time |
__meta, _impl_class, _version_pattern, EXCLUDE_FIELDS, INCLUDE_FIELDS
Constructor and Description |
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ModelMetricsBase() |
Modifier and Type | Method and Description |
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S |
fillFromImpl(ModelMetrics modelMetrics)
Version and Schema-specific filling from the implementation object.
|
acceptsFrame, createAndFillImpl, createImpl, extractVersion, fillFromParms, fillImpl, getExperimentalVersion, getHighestSupportedVersion, getImplClass, getImplClass, getLatestVersion, getSchemaVersion, markdown, markdown, markdown, markdown, newInstance, register, registerAllSchemasIfNecessary, schema, schema, schema, schema, schema, schemaClass, schemaClass, schemaClass, schemaClass, schemas
clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON
@API(help="The model used for this scoring run.", direction=INOUT) public KeyV3.ModelKeyV3 model
@API(help="The checksum for the model used for this scoring run.", direction=INOUT) public long model_checksum
@API(help="The frame used for this scoring run.", direction=INOUT) public KeyV3.FrameKeyV3 frame
@API(help="The checksum for the frame used for this scoring run.", direction=INOUT) public long frame_checksum
@API(help="Optional description for this scoring run (to note out-of-bag, sampled data, etc.)", direction=OUTPUT) public java.lang.String description
@API(help="The category (e.g., Clustering) for the model used for this scoring run.", values={"Unknown","Binomial","Multinomial","Regression","Clustering"}, direction=OUTPUT) public hex.ModelCategory model_category
@API(help="The time in mS since the epoch for the start of this scoring run.", direction=OUTPUT) public long scoring_time
public S fillFromImpl(ModelMetrics modelMetrics)
Schema
fillFromImpl
in class Schema<I extends ModelMetrics,S extends ModelMetricsBase<I,S>>