water.automl.api.schemas3

Class AutoMLBuildSpecV99.AutoMLInputV99

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<AutoMLBuildSpec.AutoMLInput,AutoMLBuildSpecV99.AutoMLInputV99>

water.automl.api.schemas3.AutoMLBuildSpecV99.AutoMLInputV99

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

AutoMLBuildSpecV99

public static final class AutoMLBuildSpecV99.AutoMLInputV99
extends water.api.schemas3.SchemaV3<AutoMLBuildSpec.AutoMLInput,AutoMLBuildSpecV99.AutoMLInputV99>

The specification of the datasets to be used for the AutoML process. The user can specify a directory path, a file path (including HDFS, s3 or the like), or the ID of an already-parsed Frame in the H2O cluster. Only one of these may be specified; if more than one is specified the server will return a 412. Paths are processed as usual in H2O.

The user also specifies the response column and, optionally, an array of columns to ignore.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class water.api.schemas3.SchemaV3

water.api.schemas3.SchemaV3.Meta

Nested classes/interfaces inherited from class water.api.Schema

water.api.Schema.AutoParseable

Field Summary

Fields

Modifier and Type	Field and Description
water.api.schemas3.KeyV3.FrameKeyV3	blending_frame
water.api.schemas3.FrameV3.ColSpecifierV3	fold_column
java.lang.String[]	ignored_columns
water.api.schemas3.KeyV3.FrameKeyV3	leaderboard_frame
water.api.schemas3.FrameV3.ColSpecifierV3	response_column
java.lang.String	sort_metric
water.api.schemas3.KeyV3.FrameKeyV3	training_frame
water.api.schemas3.KeyV3.FrameKeyV3	validation_frame
water.api.schemas3.FrameV3.ColSpecifierV3	weights_column

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
AutoMLInputV99()

Method Summary

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

training_frame

@API(help="ID of the training data frame.")
public water.api.schemas3.KeyV3.FrameKeyV3 training_frame

response_column

@API(help="Response column",
     is_member_of_frames={"training_frame","validation_frame","leaderboard_frame","blending_frame"},
     is_mutually_exclusive_with={"ignored_columns","fold_column","weights_column"})
public water.api.schemas3.FrameV3.ColSpecifierV3 response_column

validation_frame

@API(help="ID of the validation data frame (used for early stopping in grid searches and for early stopping of the AutoML process itself).")
public water.api.schemas3.KeyV3.FrameKeyV3 validation_frame

blending_frame

@API(help="ID of the H2OFrame used to train the the metalearning algorithm in Stacked Ensembles (instead of relying on cross-validated predicted values). When provided, it is also recommended to disable cross validation by setting `nfolds=0` and to provide a leaderboard frame for scoring purposes.")
public water.api.schemas3.KeyV3.FrameKeyV3 blending_frame

leaderboard_frame

@API(help="ID of the leaderboard data frame (used to score models and rank them on the AutoML Leaderboard).")
public water.api.schemas3.KeyV3.FrameKeyV3 leaderboard_frame

fold_column

@API(help="Fold column (contains fold IDs) in the training frame. These assignments are used to create the folds for cross-validation of the models.",
     level=secondary,
     is_member_of_frames={"training_frame","validation_frame","leaderboard_frame"},
     is_mutually_exclusive_with={"ignored_columns","response_column","weights_column"})
public water.api.schemas3.FrameV3.ColSpecifierV3 fold_column

weights_column

@API(help="Weights column in the training frame, which specifies the row weights used in model training.",
     level=secondary,
     is_member_of_frames={"training_frame","validation_frame","leaderboard_frame"},
     is_mutually_exclusive_with={"ignored_columns","response_column","fold_column"})
public water.api.schemas3.FrameV3.ColSpecifierV3 weights_column

ignored_columns

@API(help="Names of columns to ignore in the training frame when building models.",
     level=secondary,
     is_member_of_frames={"training_frame","validation_frame","leaderboard_frame","blending_frame"},
     is_mutually_exclusive_with={"response_column","fold_column","weights_column"})
public java.lang.String[] ignored_columns

sort_metric

@API(help="Metric used to sort leaderboard",
     valuesProvider=AutoMLBuildSpecV99.AutoMLMetricProvider.class,
     level=secondary)
public java.lang.String sort_metric

Constructor Detail

AutoMLInputV99

public AutoMLInputV99()