hex.schemas

Class Word2VecV3.Word2VecParametersV3

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<P,S>

water.api.schemas3.ModelParametersSchemaV3<Word2VecModel.Word2VecParameters,Word2VecV3.Word2VecParametersV3>

hex.schemas.Word2VecV3.Word2VecParametersV3

All Implemented Interfaces:

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

Enclosing class:

Word2VecV3

public static final class Word2VecV3.Word2VecParametersV3
extends water.api.schemas3.ModelParametersSchemaV3<Word2VecModel.Word2VecParameters,Word2VecV3.Word2VecParametersV3>

See Also:

Serialized Form

Nested Class Summary

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

water.api.schemas3.SchemaV3.Meta

Field Summary

Fields

Modifier and Type	Field and Description
int	epochs
static java.lang.String[]	fields
float	init_learning_rate
int	min_word_freq
Word2Vec.NormModel	norm_model
water.api.schemas3.KeyV3.FrameKeyV3	pre_trained
float	sent_sample_rate
int	vec_size
int	window_size
Word2Vec.WordModel	word_model

Fields inherited from class water.api.schemas3.ModelParametersSchemaV3

categorical_encoding, checkpoint, distribution, fold_assignment, fold_column, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_predictions, max_categorical_levels, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, quantile_alpha, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, tweedie_power, validation_frame, weights_column

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
Word2VecV3.Word2VecParametersV3()

Method Summary

Methods inherited from class water.api.schemas3.ModelParametersSchemaV3

append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSON

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, 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

fields

public static java.lang.String[] fields

vec_size

@API(help="Set size of word vectors")
public int vec_size

window_size

@API(help="Set max skip length between words")
public int window_size

sent_sample_rate

@API(help="Set threshold for occurrence of words. Those that appear with higher frequency in the training data\n\t\twill be randomly down-sampled; useful range is (0, 1e-5)")
public float sent_sample_rate

norm_model

@API(help="Use Hierarchical Softmax",
     values="HSM")
public Word2Vec.NormModel norm_model

epochs

@API(help="Number of training iterations to run")
public int epochs

min_word_freq

@API(help="This will discard words that appear less than  times")
public int min_word_freq

init_learning_rate

@API(help="Set the starting learning rate")
public float init_learning_rate

word_model

@API(help="Use the Skip-Gram model",
     values="SkipGram")
public Word2Vec.WordModel word_model

pre_trained

@API(help="Id of a data frame that contains a pre-trained (external) word2vec model")
public water.api.schemas3.KeyV3.FrameKeyV3 pre_trained

Constructor Detail

Word2VecV3.Word2VecParametersV3

public Word2VecV3.Word2VecParametersV3()