water.automl.api.schemas3

Class AutoMLBuildSpecV99.AutoMLInputV99

java.lang.Object

water.Iced

water.api.Schema<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.Schema<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

Field Summary

Fields

Modifier and Type	Field and Description
water.api.schemas3.FrameV3.ColSpecifierV3	fold_column
java.lang.String[]	ignored_columns
water.api.schemas3.KeyV3.FrameKeyV3	leaderboard_frame
water.api.schemas3.ImportFilesV3	leaderboard_path
water.api.schemas3.ParseSetupV3	parse_setup
water.api.schemas3.FrameV3.ColSpecifierV3	response_column
water.api.schemas3.KeyV3.FrameKeyV3	training_frame
water.api.schemas3.ImportFilesV3	training_path
water.api.schemas3.KeyV3.FrameKeyV3	validation_frame
water.api.schemas3.ImportFilesV3	validation_path
water.api.schemas3.FrameV3.ColSpecifierV3	weights_column

Constructor Summary

Constructors

Constructor and Description
AutoMLBuildSpecV99.AutoMLInputV99()

Method Summary

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromImpl, fillFromImpl, fillFromImpl, 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, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

training_path

@API(help="Path of training data to import and parse, in any form that H2O accepts, including local files or directories, s3, hdfs, etc.",
     direction=INPUT)
public water.api.schemas3.ImportFilesV3 training_path

validation_path

@API(help="Path of validation data to import and parse, in any form that H2O accepts, including local files or directories, s3, hdfs, etc.",
     direction=INPUT)
public water.api.schemas3.ImportFilesV3 validation_path

leaderboard_path

@API(help="Path of test data (to create the leaderboard) to import and parse, in any form that H2O accepts, including local files or directories, s3, hdfs, etc.",
     direction=INPUT)
public water.api.schemas3.ImportFilesV3 leaderboard_path

parse_setup

@API(help="Used to override default settings for training and test data parsing.",
     direction=INPUT)
public water.api.schemas3.ParseSetupV3 parse_setup

training_frame

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

validation_frame

@API(help="ID of the validation data frame.",
     direction=INPUT)
public water.api.schemas3.KeyV3.FrameKeyV3 validation_frame

leaderboard_frame

@API(help="ID of the leaderboard/test data frame.",
     direction=INPUT)
public water.api.schemas3.KeyV3.FrameKeyV3 leaderboard_frame

response_column

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

fold_column

@API(help="Fold column for cross-validation",
     direction=INPUT,
     is_member_of_frames={"training_frame","validation_frame","leaderboard_frame"},
     is_mutually_exclusive_with={"ignored_columns","response_column","weights_column"},
     required=false)
public water.api.schemas3.FrameV3.ColSpecifierV3 fold_column

weights_column

@API(help="Weights column, specifying row weights for model training",
     direction=INPUT,
     is_member_of_frames={"training_frame","validation_frame","leaderboard_frame"},
     is_mutually_exclusive_with={"ignored_columns","response_column","fold_column"},
     required=false)
public water.api.schemas3.FrameV3.ColSpecifierV3 weights_column

ignored_columns

@API(help="Names of columns to ignore for training",
     direction=INPUT,
     is_member_of_frames={"training_frame","validation_frame","leaderboard_frame"},
     is_mutually_exclusive_with={"response_column","fold_column","weights_column"},
     required=false)
public java.lang.String[] ignored_columns

Constructor Detail

AutoMLBuildSpecV99.AutoMLInputV99

public AutoMLBuildSpecV99.AutoMLInputV99()